{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "authorship_tag": "ABX9TyOfwuFithMvv+lt4s0i5TCy", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "code", "source": [ "!pip install PyPDF2" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "fetvo3btLALs", "outputId": "f4ac70d9-cf5f-4373-b3fc-afced371b5b5" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Collecting PyPDF2\n", " Downloading pypdf2-3.0.1-py3-none-any.whl (232 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m232.6/232.6 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hInstalling collected packages: PyPDF2\n", "Successfully installed PyPDF2-3.0.1\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install nltk" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "6OMAkVCsC5SW", "outputId": "eb77e071-2f5c-497c-bd4e-b52cd05deb9c" }, "execution_count": 7, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (3.8.1)\n", "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk) (8.1.3)\n", "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk) (1.2.0)\n", "Requirement already satisfied: regex>=2021.8.3 in /usr/local/lib/python3.10/dist-packages (from nltk) (2022.10.31)\n", "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from nltk) (4.65.0)\n" ] } ] }, { "cell_type": "code", "source": [ "from google.colab import drive\n", "\n", "# Mount Google Drive\n", "drive.mount('/content/drive')" ], "metadata": { "id": "dG8XNwMCLSks", "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "outputId": "8772ae2d-45b9-481b-981f-6223b38b6f3c" }, "execution_count": 8, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Mounted at /content/drive\n" ] } ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "P8BGNn_XGZal", "outputId": "7fc233a1-f25d-42e9-a704-627f25e80014" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "PDF converted to TXT successfully!\n" ] } ], "source": [ "import PyPDF2\n", "\n", "def pdf_to_txt(pdf_path, txt_path):\n", " with open(pdf_path, 'rb') as pdf_file:\n", " pdf_reader = PyPDF2.PdfReader(pdf_file)\n", " num_pages = len(pdf_reader.pages)\n", "\n", " with open(txt_path, 'w') as txt_file:\n", " for page_num in range(num_pages):\n", " page = pdf_reader.pages[page_num]\n", " text = page.extract_text()\n", " txt_file.write(text)\n", "\n", " print(\"PDF converted to TXT successfully!\")\n", "\n", "# Specify the path to your PDF file\n", "pdf_path = '/content/drive/MyDrive/Colab Notebooks/pdf2txt/aliens-1986.pdf'\n", "\n", "# Specify the path to save the TXT file\n", "txt_path = '/content/drive/MyDrive/Colab Notebooks/pdf2txt/aliens-1986.txt'\n", "\n", "# Call the function to convert PDF to TXT\n", "pdf_to_txt(pdf_path, txt_path)" ] }, { "cell_type": "code", "source": [ "import nltk\n", "nltk.download('punkt')\n", "from nltk.tokenize import word_tokenize\n", "from nltk.probability import FreqDist\n", "\n", "# Read the text file\n", "file_path = '/content/drive/MyDrive/Colab Notebooks/pdf2txt/aliens-1986.txt'\n", "with open(file_path, 'r', encoding='utf-8') as file:\n", " text = file.read()\n", "\n", "# Tokenize the text into words\n", "tokens = word_tokenize(text)\n", "\n", "# Calculate the frequency distribution of words\n", "fdist = FreqDist(tokens)\n", "\n", "# Print the most common words and their frequencies\n", "print(\"Word\\t\\tFrequency\")\n", "print(\"-----------------------\")\n", "for word, frequency in fdist.most_common():\n", " print(f\"{word}\\t\\t{frequency}\")\n" ], "metadata": { "id": "JFqWranvxX2-", "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "outputId": "4e4c29eb-d20d-4a87-f1c3-6e82155e2149" }, "execution_count": 14, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "[nltk_data] Downloading package punkt to /root/nltk_data...\n", "[nltk_data] Unzipping tokenizers/punkt.zip.\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n", "closing\t\t8\n", "10\t\t8\n", "COLONY\t\t8\n", "13\t\t8\n", "ceiling\t\t8\n", "DIETRICH\t\t8\n", "32\t\t8\n", "Go\t\t8\n", "rapidly\t\t8\n", "fast\t\t8\n", "Okay\t\t8\n", "Where\t\t8\n", "battle\t\t8\n", "Here\t\t8\n", "monitor\t\t8\n", "shoulder\t\t8\n", "each\t\t8\n", "minutes\t\t8\n", "landing\t\t8\n", "main\t\t8\n", "emerge\t\t8\n", "several\t\t8\n", "picks\t\t8\n", "walls\t\t8\n", "herself\t\t8\n", "Right\t\t8\n", "along\t\t8\n", "pipes\t\t8\n", "72\t\t8\n", "signal\t\t8\n", "terminal\t\t8\n", "gets\t\t8\n", "both\t\t8\n", "shaft\t\t8\n", "cage\t\t8\n", "IN\t\t7\n", "figure\t\t7\n", "ANGLE\t\t7\n", "ROOM\t\t7\n", "crosses\t\t7\n", "gon\t\t7\n", "becomes\t\t7\n", "coming\t\t7\n", "glass\t\t7\n", "water\t\t7\n", "Get\t\t7\n", "stares\t\t7\n", "4\t\t7\n", "stand\t\t7\n", "CUT\t\t7\n", "As\t\t7\n", "sorry\t\t7\n", "home\t\t7\n", "keep\t\t7\n", "believe\t\t7\n", "many\t\t7\n", "board\t\t7\n", "12\t\t7\n", "15\t\t7\n", "say\t\t7\n", "takes\t\t7\n", "roars\t\t7\n", "ANNE\t\t7\n", "half\t\t7\n", "vast\t\t7\n", "Their\t\t7\n", "lunges\t\t7\n", "mike\t\t7\n", "Lieutenant\t\t7\n", "24\t\t7\n", "group\t\t7\n", "steam\t\t7\n", "blur\t\t7\n", "cut\t\t7\n", "33\t\t7\n", "Is\t\t7\n", "echoing\t\t7\n", "Spunkmeyer\t\t7\n", "swings\t\t7\n", "loader\t\t7\n", "weapon\t\t7\n", "SECOND\t\t7\n", "raises\t\t7\n", "claws\t\t7\n", "closed\t\t7\n", "AFC\t\t7\n", "edge\t\t7\n", "P.O.V\t\t7\n", "filtered\t\t7\n", "level\t\t7\n", "LEVEL\t\t7\n", "seeing\t\t7\n", "operations\t\t7\n", "70\t\t7\n", "turn\t\t7\n", "top\t\t7\n", "kid\t\t7\n", "scrambles\t\t7\n", "Dietrich\t\t7\n", "how\t\t7\n", "Maybe\t\t7\n", "comes\t\t7\n", "clear\t\t7\n", "grip\t\t7\n", "lying\t\t7\n", "silhouette\t\t7\n", "darkness\t\t7\n", "tail\t\t7\n", "grille\t\t7\n", "God\t\t6\n", "playing\t\t6\n", "descends\t\t6\n", "torch\t\t6\n", "cuts\t\t6\n", "falls\t\t6\n", "carrying\t\t6\n", "approach\t\t6\n", "guys\t\t6\n", "STATION\t\t6\n", "When\t\t6\n", "wo\t\t6\n", "part\t\t6\n", "work\t\t6\n", "talking\t\t6\n", "crew\t\t6\n", "horror\t\t6\n", "dives\t\t6\n", "shouting\t\t6\n", "Hold\t\t6\n", "itself\t\t6\n", "5\t\t6\n", "breath\t\t6\n", "snap\t\t6\n", "VIDEO\t\t6\n", "dreams\t\t6\n", "enough\t\t6\n", "medical\t\t6\n", "hard\t\t6\n", "Two\t\t6\n", "woman\t\t6\n", "once\t\t6\n", "reading\t\t6\n", "stay\t\t6\n", "grim\t\t6\n", "Are\t\t6\n", "8\t\t6\n", "never\t\t6\n", "reads\t\t6\n", "had\t\t6\n", "made\t\t6\n", "twenty\t\t6\n", "maybe\t\t6\n", "mind\t\t6\n", "ALIEN\t\t6\n", "spray\t\t6\n", "computer\t\t6\n", "SIMPSON\t\t6\n", "always\t\t6\n", "blasting\t\t6\n", "heavy\t\t6\n", "mine\t\t6\n", "shape\t\t6\n", "19\t\t6\n", "SCREAMS\t\t6\n", "OPEN\t\t6\n", "terrified\t\t6\n", "rises\t\t6\n", "22\t\t6\n", "ta\t\t6\n", "clean\t\t6\n", "SULACO\t\t6\n", "shadows\t\t6\n", "30\t\t6\n", "Through\t\t6\n", "sit\t\t6\n", "enters\t\t6\n", "left\t\t6\n", "Yes\t\t6\n", "powerful\t\t6\n", "video\t\t6\n", "standing\t\t6\n", "WHINE\t\t6\n", "nearby\t\t6\n", "40\t\t6\n", "line\t\t6\n", "aisle\t\t6\n", "fuck\t\t6\n", "squad\t\t6\n", "·\t\t6\n", "50\t\t6\n", "control\t\t6\n", "image\t\t6\n", "movement\t\t6\n", "aside\t\t6\n", "pulse-rifle\t\t6\n", "conduit\t\t6\n", "headset\t\t6\n", "Acid\t\t6\n", "beneath\t\t6\n", "feet\t\t6\n", "shut\t\t6\n", "hair\t\t6\n", "73\t\t6\n", "front\t\t6\n", "74\t\t6\n", "75\t\t6\n", "within\t\t6\n", "staring\t\t6\n", "together\t\t6\n", "Suddenly\t\t6\n", "full\t\t6\n", "lightning\t\t6\n", "jaws\t\t6\n", "Its\t\t6\n", "service\t\t6\n", "guns\t\t6\n", "corner\t\t6\n", "inches\t\t6\n", "cold\t\t5\n", "flash\t\t5\n", "hull\t\t5\n", "DOOR\t\t5\n", "enter\t\t5\n", "cat\t\t5\n", "Watch\t\t5\n", "white\t\t5\n", "three\t\t5\n", "large\t\t5\n", "hugs\t\t5\n", "last\t\t5\n", "INTO\t\t5\n", "suddenly\t\t5\n", "console\t\t5\n", "button\t\t5\n", "holding\t\t5\n", "TWO\t\t5\n", "try\t\t5\n", "Jesus\t\t5\n", "sweat\t\t5\n", "help\t\t5\n", "sleep\t\t5\n", "rocks\t\t5\n", "nightmare\t\t5\n", "sort\t\t5\n", "death\t\t5\n", "tries\t\t5\n", "Some\t\t5\n", "hours\t\t5\n", "personnel\t\t5\n", "piece\t\t5\n", "7\t\t5\n", "flight\t\t5\n", "LV-426\t\t5\n", "Van\t\t5\n", "Leuwen\t\t5\n", "because\t\t5\n", "teeth\t\t5\n", "kill\t\t5\n", "coffee\t\t5\n", "throat\t\t5\n", "catches\t\t5\n", "elevator\t\t5\n", "big\t\t5\n", "11\t\t5\n", "COMPLEX\t\t5\n", "wide\t\t5\n", "stock\t\t5\n", "LYDECKER\t\t5\n", "grid\t\t5\n", "TRACTOR\t\t5\n", "kids\t\t5\n", "TIM\t\t5\n", "mass\t\t5\n", "base\t\t5\n", "HER\t\t5\n", "trying\t\t5\n", "lip\t\t5\n", "doing\t\t5\n", "counter\t\t5\n", "narrow\t\t5\n", "wake\t\t5\n", "appears\t\t5\n", "deep\t\t5\n", "SPUNKMEYER\t\t5\n", "shit\t\t5\n", "Awright\t\t5\n", "swirling\t\t5\n", "Ferro\t\t5\n", "dry\t\t5\n", "supposed\t\t5\n", "point\t\t5\n", "finger\t\t5\n", "bit\t\t5\n", "later\t\t5\n", "must\t\t5\n", "hope\t\t5\n", "tactical\t\t5\n", "38\t\t5\n", "LOADING\t\t5\n", "hydraulic\t\t5\n", "intense\t\t5\n", "bay\t\t5\n", "checks\t\t5\n", "huge\t\t5\n", "ready\t\t5\n", "pulse-rifles\t\t5\n", "cloud\t\t5\n", "LANDING\t\t5\n", "show\t\t5\n", "52\t\t5\n", "machinery\t\t5\n", "tower\t\t5\n", "jet\t\t5\n", "54\t\t5\n", "tightly\t\t5\n", "panel\t\t5\n", "jams\t\t5\n", "stairwell\t\t5\n", "61\t\t5\n", "section\t\t5\n", "AND\t\t5\n", "twisted\t\t5\n", "cylinders\t\t5\n", "seem\t\t5\n", "slamming\t\t5\n", "creatures\t\t5\n", "specimens\t\t5\n", "BEEP\t\t5\n", "follows\t\t5\n", "pushes\t\t5\n", "crawls\t\t5\n", "struggles\t\t5\n", "debris\t\t5\n", "start\t\t5\n", "sets\t\t5\n", "Uh\t\t5\n", "black\t\t5\n", "doll\t\t5\n", "76\t\t5\n", "field\t\t5\n", "86\t\t5\n", "87\t\t5\n", "magazines\t\t5\n", "fucking\t\t5\n", "burst\t\t5\n", "COCOON\t\t5\n", "97\t\t5\n", "99\t\t5\n", "put\t\t5\n", "gear\t\t5\n", "102\t\t5\n", "mist\t\t5\n", "backs\t\t5\n", "disappears\t\t5\n", "strength\t\t5\n", "real\t\t5\n", "sprints\t\t5\n", "116\t\t5\n", "thrower\t\t5\n", "sentry\t\t5\n", "SERVICE\t\t5\n", "122\t\t5\n", "honey\t\t5\n", "t\t\t5\n", "egg\t\t5\n", "echoes\t\t5\n", "0\t\t5\n", "M-41A\t\t5\n", "desperately\t\t5\n", "desk\t\t5\n", "warrior\t\t5\n", "reach\t\t5\n", "armor\t\t5\n", "VOICE\t\t5\n", "ladder\t\t5\n", "locator\t\t5\n", "platform\t\t5\n", "23\t\t4\n", "SPACE\t\t4\n", "louder\t\t4\n", "closer\t\t4\n", "descending\t\t4\n", "Like\t\t4\n", "CLANG\t\t4\n", "cutting\t\t4\n", "bizarre\t\t4\n", "HYPERSLEEP\t\t4\n", "high\t\t4\n", "orbit\t\t4\n", "fills\t\t4\n", "continues\t\t4\n", "lies\t\t4\n", "tech\t\t4\n", "pretty\t\t4\n", "o.s\t\t4\n", "finally\t\t4\n", "Carter\t\t4\n", "better\t\t4\n", "kiddo\t\t4\n", "shock\t\t4\n", "stunned\t\t4\n", "world\t\t4\n", "Christ\t\t4\n", "struggle\t\t4\n", "WE\t\t4\n", "cabinet\t\t4\n", "fifteen\t\t4\n", "SHAPE\t\t4\n", "IT\t\t4\n", "SCREECHES\t\t4\n", "clutching\t\t4\n", "ripping\t\t4\n", "MONITOR\t\t4\n", "VISIBLE\t\t4\n", "SCREEN\t\t4\n", "center\t\t4\n", "wait\t\t4\n", "name\t\t4\n", "guess\t\t4\n", "studies\t\t4\n", "terror\t\t4\n", "puts\t\t4\n", "hearing\t\t4\n", "ICC\t\t4\n", "engines\t\t4\n", "planet\t\t4\n", "organism\t\t4\n", "Goddamn\t\t4\n", "airlock\t\t4\n", "species\t\t4\n", "while\t\t4\n", "already\t\t4\n", "hundred\t\t4\n", "saw\t\t4\n", "taking\t\t4\n", "At\t\t4\n", "new\t\t4\n", "walking\t\t4\n", "check\t\t4\n", "holds\t\t4\n", "closes\t\t4\n", "buildings\t\t4\n", "MAIN\t\t4\n", "plastic\t\t4\n", "BLOCK\t\t4\n", "jammed\t\t4\n", "DOLLYING\t\t4\n", "sent\t\t4\n", "answer\t\t4\n", "yells\t\t4\n", "play\t\t4\n", "ducts\t\t4\n", "THROUGH\t\t4\n", "enormous\t\t4\n", "tractor\t\t4\n", "INT./EXT\t\t4\n", "curled\t\t4\n", "shakes\t\t4\n", "landscape\t\t4\n", "CRASH\t\t4\n", "Four\t\t4\n", "SOMETHING\t\t4\n", "pulsing\t\t4\n", "obscene\t\t4\n", "LATER\t\t4\n", "may\t\t4\n", "These\t\t4\n", "If\t\t4\n", "leans\t\t4\n", "slips\t\t4\n", "Think\t\t4\n", "trembling\t\t4\n", "plan\t\t4\n", "punches\t\t4\n", "tone\t\t4\n", "25\t\t4\n", "26\t\t4\n", "followed\t\t4\n", "row\t\t4\n", "female\t\t4\n", "feel\t\t4\n", "good\t\t4\n", "feels\t\t4\n", "First\t\t4\n", "watching\t\t4\n", "Who\t\t4\n", "knife\t\t4\n", "being\t\t4\n", "action\t\t4\n", "plate\t\t4\n", "brought\t\t4\n", "finished\t\t4\n", "settles\t\t4\n", "clearly\t\t4\n", "seven\t\t4\n", "From\t\t4\n", "37\t\t4\n", "BAY\t\t4\n", "become\t\t4\n", "near\t\t4\n", "slide\t\t4\n", "smoothly\t\t4\n", "41\t\t4\n", "43\t\t4\n", "45\t\t4\n", "46\t\t4\n", "COCKPIT\t\t4\n", "49\t\t4\n", "HOLD\t\t4\n", "knees\t\t4\n", "lower\t\t4\n", "himself\t\t4\n", "smart-gun\t\t4\n", "exterior\t\t4\n", "roaring\t\t4\n", "circle\t\t4\n", "squeezes\t\t4\n", "53\t\t4\n", "Ten\t\t4\n", "hit\t\t4\n", "overhead\t\t4\n", "shrieks\t\t4\n", "unslings\t\t4\n", "Nobody\t\t4\n", "bodies\t\t4\n", "cup\t\t4\n", "Back\t\t4\n", "directly\t\t4\n", "levels\t\t4\n", "rolls\t\t4\n", "crew-door\t\t4\n", "motors\t\t4\n", "gestures\t\t4\n", "should\t\t4\n", "without\t\t4\n", "transfixed\t\t4\n", "pulse\t\t4\n", "stasis\t\t4\n", "71\t\t4\n", "climbs\t\t4\n", "instant\t\t4\n", "rips\t\t4\n", "LARGE\t\t4\n", "bolts\t\t4\n", "hatch\t\t4\n", "safe\t\t4\n", "underneath\t\t4\n", "Looking\t\t4\n", "Rebecca\t\t4\n", "kneels\t\t4\n", "much\t\t4\n", "done\t\t4\n", "whole\t\t4\n", "gathered\t\t4\n", "break\t\t4\n", "Casey\t\t4\n", "barely\t\t4\n", "Everyone\t\t4\n", "four\t\t4\n", "cooling\t\t4\n", "connecting\t\t4\n", "81\t\t4\n", "maze\t\t4\n", "conduits\t\t4\n", "pressure\t\t4\n", "well\t\t4\n", "83\t\t4\n", "STRUCTURE\t\t4\n", "hell\t\t4\n", "system\t\t4\n", "Wierzbowski\t\t4\n", "magazine\t\t4\n", "beam\t\t4\n", "SCREECHING\t\t4\n", "glistening\t\t4\n", "FIRES\t\t4\n", "satchel\t\t4\n", "blast\t\t4\n", "breaks\t\t4\n", "rolling\t\t4\n", "scream\t\t4\n", "98\t\t4\n", "belt\t\t4\n", "wet\t\t4\n", "sideways\t\t4\n", "drags\t\t4\n", "inhuman\t\t4\n", "dragging\t\t4\n", "throttle\t\t4\n", "appear\t\t4\n", "FROM\t\t4\n", "hideous\t\t4\n", "tight\t\t4\n", "105\t\t4\n", "110\t\t4\n", "waves\t\t4\n", "roll\t\t4\n", "wreckage\t\t4\n", "scorched\t\t4\n", "indicates\t\t4\n", "display\t\t4\n", "gun\t\t4\n", "direction\t\t4\n", "hurls\t\t4\n", "track\t\t4\n", "torn\t\t4\n", "inner\t\t4\n", "lifts\t\t4\n", "pull\t\t4\n", "baby\t\t4\n", "ANNEX\t\t4\n", "observation\t\t4\n", "fury\t\t4\n", "rage\t\t4\n", "alarm\t\t4\n", "crash\t\t4\n", "portable\t\t4\n", "133\t\t4\n", "shapes\t\t4\n", "launcher\t\t4\n", "SURGERY\t\t4\n", "cot\t\t4\n", "jacket\t\t4\n", "warriors\t\t4\n", "seizes\t\t4\n", "chute\t\t4\n", "ELEVATOR\t\t4\n", "EGG\t\t4\n", "fireball\t\t4\n", "QUEEN\t\t4\n", "limbs\t\t4\n", "1\t\t3\n", "remote\t\t3\n", "stars\t\t3\n", "love\t\t3\n", "drifts\t\t3\n", "lifeboat\t\t3\n", "Nostromo\t\t3\n", "Without\t\t3\n", "interior\t\t3\n", "DARK\t\t3\n", "Dark\t\t3\n", "SEEN\t\t3\n", "CLOSE\t\t3\n", "CAPSULE\t\t3\n", "wipes\t\t3\n", "layer\t\t3\n", "dust\t\t3\n", "WOMAN\t\t3\n", "DISSOLVE\t\t3\n", "ORBIT\t\t3\n", "Earth\t\t3\n", "GATEWAY\t\t3\n", "vertical\t\t3\n", "MEDICAL\t\t3\n", "wan\t\t3\n", "array\t\t3\n", "am\t\t3\n", "tired\t\t3\n", "Gateway\t\t3\n", "first\t\t3\n", "MAN\t\t3\n", "worse\t\t3\n", "notices\t\t3\n", "guy\t\t3\n", "person\t\t3\n", "Because\t\t3\n", "leading\t\t3\n", "deaths\t\t3\n", "years\t\t3\n", "oh\t\t3\n", "struggling\t\t3\n", "shoulders\t\t3\n", "agony\t\t3\n", "thrashes\t\t3\n", "RIGHT\t\t3\n", "screaming\t\t3\n", "wildly\t\t3\n", "faint\t\t3\n", "shattered\t\t3\n", "shafts\t\t3\n", "ENTERS\t\t3\n", "Sorry\t\t3\n", "Have\t\t3\n", "including\t\t3\n", "scanning\t\t3\n", "tough\t\t3\n", "cries\t\t3\n", "late\t\t3\n", "C\t\t3\n", "cool\t\t3\n", "grins\t\t3\n", "file\t\t3\n", "scene\t\t3\n", "android\t\t3\n", "please\t\t3\n", "INSURANCE\t\t3\n", "course\t\t3\n", "For\t\t3\n", "told\t\t3\n", "entries\t\t3\n", "sighs\t\t3\n", "went\t\t3\n", "found\t\t3\n", "pause\t\t3\n", "ECA\t\t3\n", "Did\t\t3\n", "derelict\t\t3\n", "living\t\t3\n", "words\t\t3\n", "entire\t\t3\n", "kicks\t\t3\n", "kind\t\t3\n", "clears\t\t3\n", "Ellen\t\t3\n", "commercial\t\t3\n", "officer\t\t3\n", "chin\t\t3\n", "six\t\t3\n", "bottom\t\t3\n", "BACK\t\t3\n", "atmosphere\t\t3\n", "shake\t\t3\n", "LANDSCAPE\t\t3\n", "SLOWLY\t\t3\n", "twilight\t\t3\n", "sign\t\t3\n", "159\t\t3\n", "town\t\t3\n", "cluster\t\t3\n", "kilometers\t\t3\n", "CONCOURSE\t\t3\n", "activity\t\t3\n", "nowhere\t\t3\n", "14\t\t3\n", "office\t\t3\n", "ask\t\t3\n", "weeks\t\t3\n", "ACHERON\t\t3\n", "intent\t\t3\n", "Dad\t\t3\n", "brother\t\t3\n", "looming\t\t3\n", "SHIP\t\t3\n", "16\t\t3\n", "17\t\t3\n", "18\t\t3\n", "gash\t\t3\n", "Anne\t\t3\n", "LIGHTS\t\t3\n", "strange\t\t3\n", "Tim\t\t3\n", "driver\t\t3\n", "awake\t\t3\n", "20\t\t3\n", "21\t\t3\n", "knows\t\t3\n", "Mayday\t\t3\n", "shouts\t\t3\n", "HIS\t\t3\n", "APARTMENT\t\t3\n", "Colonial\t\t3\n", "motions\t\t3\n", "Forget\t\t3\n", "transmitter\t\t3\n", "troops\t\t3\n", "handle\t\t3\n", "cargo\t\t3\n", "fear\t\t3\n", "heads\t\t3\n", "CONSOLE\t\t3\n", "bring\t\t3\n", "My\t\t3\n", "demon\t\t3\n", "eye\t\t3\n", "blinks\t\t3\n", "27\t\t3\n", "28\t\t3\n", "29\t\t3\n", "battered\t\t3\n", "cavernous\t\t3\n", "Hydraulics\t\t3\n", "Next\t\t3\n", "dog\t\t3\n", "CORPORAL\t\t3\n", "PFC\t\t3\n", "Man\t\t3\n", "31\t\t3\n", "ever\t\t3\n", "palm\t\t3\n", "sense\t\t3\n", "frozen\t\t3\n", "Everybody\t\t3\n", "waiting\t\t3\n", "combat\t\t3\n", "Got\t\t3\n", "synthetic\t\t3\n", "trip\t\t3\n", "WHAM\t\t3\n", "exchange\t\t3\n", "READY\t\t3\n", "ARMORY\t\t3\n", "WIDER\t\t3\n", "racks\t\t3\n", "high-tech\t\t3\n", "blows\t\t3\n", "34\t\t3\n", "35\t\t3\n", "really\t\t3\n", "36\t\t3\n", "ordnance\t\t3\n", "rack\t\t3\n", "hydraulics\t\t3\n", "aware\t\t3\n", "foot\t\t3\n", "aimed\t\t3\n", "automatic\t\t3\n", "approaches\t\t3\n", "39\t\t3\n", "On\t\t3\n", "times\t\t3\n", "begin\t\t3\n", "KLAXON\t\t3\n", "badass\t\t3\n", "Me\t\t3\n", "protect\t\t3\n", "42\t\t3\n", "44\t\t3\n", "craft\t\t3\n", "lowers\t\t3\n", "shudders\t\t3\n", "47\t\t3\n", "48\t\t3\n", "n\t\t3\n", "final\t\t3\n", "locked\t\t3\n", "makes\t\t3\n", "lined\t\t3\n", "joins\t\t3\n", "images\t\t3\n", "readouts\t\t3\n", "camera\t\t3\n", "51\t\t3\n", "case\t\t3\n", "AP\t\t3\n", "turning\t\t3\n", "pulling\t\t3\n", "cover\t\t3\n", "55\t\t3\n", "56\t\t3\n", "57\t\t3\n", "partway\t\t3\n", "eases\t\t3\n", "Second\t\t3\n", "following\t\t3\n", "emergency\t\t3\n", "swinging\t\t3\n", "leads\t\t3\n", "cautiously\t\t3\n", "dim\t\t3\n", "distance\t\t3\n", "recedes\t\t3\n", "pass\t\t3\n", "rooms\t\t3\n", "offices\t\t3\n", "59\t\t3\n", "60\t\t3\n", "whirls\t\t3\n", "frame\t\t3\n", "rounds\t\t3\n", "58\t\t3\n", "Inside\t\t3\n", "irregular\t\t3\n", "62\t\t3\n", "63\t\t3\n", "64\t\t3\n", "Another\t\t3\n", "area\t\t3\n", "CPU\t\t3\n", "meet\t\t3\n", "65\t\t3\n", "66\t\t3\n", "67\t\t3\n", "howls\t\t3\n", "buttons\t\t3\n", "68\t\t3\n", "69\t\t3\n", "CONTROL\t\t3\n", "share\t\t3\n", "nervously\t\t3\n", "winks\t\t3\n", "seen\t\t3\n", "barricade\t\t3\n", "Over\t\t3\n", "passed\t\t3\n", "beeps\t\t3\n", "Slams\t\t3\n", "cabinets\t\t3\n", "grips\t\t3\n", "HEAD\t\t3\n", "reaching\t\t3\n", "squirms\t\t3\n", "slam\t\t3\n", "shines\t\t3\n", "OFFICE\t\t3\n", "chair\t\t3\n", "Total\t\t3\n", "exit\t\t3\n", "gently\t\t3\n", "quietly\t\t3\n", "Can\t\t3\n", "'em\t\t3\n", "processing\t\t3\n", "sub-level\t\t3\n", "flashing\t\t3\n", "hour\t\t3\n", "77\t\t3\n", "78\t\t3\n", "furniture\t\t3\n", "79\t\t3\n", "80\t\t3\n", "82\t\t3\n", "carrier\t\t3\n", "84\t\t3\n", "85\t\t3\n", "swirls\t\t3\n", "round\t\t3\n", "heat\t\t3\n", "explosion\t\t3\n", "dismay\t\t3\n", "88\t\t3\n", "89\t\t3\n", "cocoon\t\t3\n", "material\t\t3\n", "number\t\t3\n", "parasites\t\t3\n", "cocooned\t\t3\n", "most\t\t3\n", "drained\t\t3\n", "90\t\t3\n", "mindless\t\t3\n", "zero\t\t3\n", "Ca\t\t3\n", "multiple\t\t3\n", "91\t\t3\n", "92\t\t3\n", "93\t\t3\n", "94\t\t3\n", "smoky\t\t3\n", "Still\t\t3\n", "nightmarish\t\t3\n", "Crowe\t\t3\n", "flaming\t\t3\n", "95\t\t3\n", "96\t\t3\n", "THEM\t\t3\n", "fall\t\t3\n", "vicious\t\t3\n", "paralyzed\t\t3\n", "100\t\t3\n", "101\t\t3\n", "showering\t\t3\n", "lunge\t\t3\n", "arcs\t\t3\n", "setting\t\t3\n", "103\t\t3\n", "backward\t\t3\n", "free\t\t3\n", "104-\t\t3\n", "107\t\t3\n", "smashing\t\t3\n", "grinding\t\t3\n", "smoking\t\t3\n", "nothing\t\t3\n", "leave\t\t3\n", "forehead\t\t3\n", "108\t\t3\n", "releases\t\t3\n", "pale\t\t3\n", "gas\t\t3\n", "dealing\t\t3\n", "114\t\t3\n", "hovering\t\t3\n", "intercom\t\t3\n", "whirl\t\t3\n", "slammed\t\t3\n", "engine\t\t3\n", "calm\t\t3\n", "soon\t\t3\n", "options\t\t3\n", "remaining\t\t3\n", "fifty\t\t3\n", "About\t\t3\n", "care\t\t3\n", "access\t\t3\n", "tunnels\t\t3\n", "Aye-firmative\t\t3\n", "corridors\t\t3\n", "game\t\t3\n", "sealing\t\t3\n", "find\t\t3\n", "LOCATOR\t\t3\n", "Everything\t\t3\n", "D\t\t3\n", "betrayal\t\t3\n", "promise\t\t3\n", "gave\t\t3\n", "bitch\t\t3\n", "idea\t\t3\n", "depths\t\t3\n", "ALARM\t\t3\n", "separate\t\t3\n", "rhythm\t\t3\n", "128\t\t3\n", "digital\t\t3\n", "ferocity\t\t3\n", "listen\t\t3\n", "SCREECH\t\t3\n", "up-link\t\t3\n", "patch\t\t3\n", "With\t\t3\n", "crawl\t\t3\n", "scraping\t\t3\n", "135\t\t3\n", "bolt\t\t3\n", "grenade\t\t3\n", "everything\t\t3\n", "sounds\t\t3\n", "underside\t\t3\n", "incredible\t\t3\n", "Hits\t\t3\n", "realizing\t\t3\n", "spraying\t\t3\n", "sprinklers\t\t3\n", "frenzy\t\t3\n", "forcing\t\t3\n", "blasts\t\t3\n", "146\t\t3\n", "Stay\t\t3\n", "149\t\t3\n", "152\t\t3\n", "clinging\t\t3\n", "flying\t\t3\n", "gap\t\t3\n", "hypnotically\t\t3\n", "BAM\t\t3\n", "pain\t\t3\n", "stumble\t\t3\n", "grating\t\t3\n", "sprinting\t\t3\n", "bars\t\t3\n", "AGAIN\t\t3\n", "hurricane\t\t3\n", "CATACOMB\t\t3\n", "insane\t\t3\n", "hears\t\t3\n", "175\t\t3\n", "SHRIEK\t\t3\n", "ALIENS\t\t2\n", "FADE\t\t2\n", "NARCISSUS\t\t2\n", "star\t\t2\n", "freighter\t\t2\n", "grows\t\t2\n", "shadow\t\t2\n", "engulfs\t\t2\n", "MASSIVE\t\t2\n", "searchlights\t\t2\n", "windows\t\t2\n", "forms\t\t2\n", "AIRLOCK\t\t2\n", "precision\t\t2\n", "path\t\t2\n", "ominous\t\t2\n", "THREE\t\t2\n", "suits\t\t2\n", "canopy\t\t2\n", "OFFICER\t\t2\n", "green\t\t2\n", "salvage\t\t2\n", "\\\t\t2\n", "2-A\t\t2\n", "PANNING\t\t2\n", "serene\t\t2\n", "blue\t\t2\n", "f.g.\t\t2\n", "Harsh\t\t2\n", "rise\t\t2\n", "buying\t\t2\n", "authority\t\t2\n", "anybody\t\t2\n", "days\t\t2\n", "hypersleep\t\t2\n", "visitor\t\t2\n", "familiar\t\t2\n", "orange\t\t2\n", "none\t\t2\n", "smile\t\t2\n", "gaze\t\t2\n", "charges\t\t2\n", "Those\t\t2\n", "came\t\t2\n", "Fifty-seven\t\t2\n", "passing\t\t2\n", "amazement\t\t2\n", "lost\t\t2\n", "luck\t\t2\n", "damn\t\t2\n", "lucky\t\t2\n", "CLOSEUP\t\t2\n", "GO\t\t2\n", "shatters\t\t2\n", "med-tech\t\t2\n", "Code\t\t2\n", "Blue\t\t2\n", "DOCTOR\t\t2\n", "knocking\t\t2\n", "EKG\t\t2\n", "wide-eyed\t\t2\n", "RISING\t\t2\n", "CHITTERING\t\t2\n", "Alone\t\t2\n", "darkened\t\t2\n", "slowing\t\t2\n", "reality\t\t2\n", "Bad\t\t2\n", "slept\t\t2\n", "beyond\t\t2\n", "smacks\t\t2\n", "WALL\t\t2\n", "al\t\t2\n", "daughter\t\t2\n", "yet\t\t2\n", "PHOTOGRAPH\t\t2\n", "knew\t\t2\n", "Any\t\t2\n", "children\t\t2\n", "beat\t\t2\n", "birthday\t\t2\n", "lady\t\t2\n", "emptiness\t\t2\n", "administration\t\t2\n", "happened\t\t2\n", "important\t\t2\n", "unemotional\t\t2\n", "CONFERENCE\t\t2\n", "different\t\t2\n", "ways\t\t2\n", "story\t\t2\n", "faces\t\t2\n", "inquiry\t\t2\n", "conference\t\t2\n", "prints\t\t2\n", "representative\t\t2\n", "INVESTIGATOR\t\t2\n", "million\t\t2\n", "}\t\t2\n", "recorder\t\t2\n", "elements\t\t2\n", "reasons\t\t2\n", "unknown\t\t2\n", "orders\t\t2\n", "destroyed\t\t2\n", "precious\t\t2\n", "contain\t\t2\n", "hostile\t\t2\n", "picked\t\t2\n", "analysis\t\t2\n", "centimeter\t\t2\n", "REP\t\t2\n", "indigenous\t\t2\n", "grits\t\t2\n", "frustration\t\t2\n", "beacon\t\t2\n", "reported\t\t2\n", "statement\t\t2\n", "telling\t\t2\n", "exist\t\t2\n", "Kane\t\t2\n", "Thank\t\t2\n", "Officer\t\t2\n", "managed\t\t2\n", "Goddammit\t\t2\n", "kiss\t\t2\n", "good-bye\t\t2\n", "eating\t\t2\n", "headcase\t\t2\n", "cheerfully\t\t2\n", "donut\t\t2\n", "l\t\t2\n", "-TIGHT\t\t2\n", "finding\t\t2\n", "judgment\t\t2\n", "hold\t\t2\n", "license\t\t2\n", "subdued\t\t2\n", "suspended\t\t2\n", "own\t\t2\n", "month\t\t2\n", "screen\t\t2\n", "CLOSED\t\t2\n", "strides\t\t2\n", "Takes\t\t2\n", "ACROSS\t\t2\n", "storm-blasted\t\t2\n", "tortured\t\t2\n", "bleak\t\t2\n", "added\t\t2\n", "nice\t\t2\n", "day\t\t2\n", "corroded\t\t2\n", "b.g\t\t2\n", "ANGLES\t\t2\n", "b.g.\t\t2\n", "ATMOSPHERE\t\t2\n", "oil\t\t2\n", "refinery\t\t2\n", "volcano\t\t2\n", "live\t\t2\n", "race\t\t2\n", "displays\t\t2\n", "MANAGER\t\t2\n", "middle\t\t2\n", "claim\t\t2\n", "honored\t\t2\n", "says\t\t2\n", "why\t\t2\n", "Tell\t\t2\n", "-DAY\t\t2\n", "AN\t\t2\n", "ash\t\t2\n", "juicy\t\t2\n", "profile\t\t2\n", "dear\t\t2\n", "six-year-old\t\t2\n", "older\t\t2\n", "sticks\t\t2\n", "hers\t\t2\n", "fit\t\t2\n", "places\t\t2\n", "best\t\t2\n", "either\t\t2\n", "projecting\t\t2\n", "design\t\t2\n", "nervous\t\t2\n", "weird\t\t2\n", "Jorden\t\t2\n", "step\t\t2\n", "wearing\t\t2\n", "CAMERAS\t\t2\n", "clouds\t\t2\n", "Blackness\t\t2\n", "pressed\t\t2\n", "parents\t\t2\n", "-NIGHT\t\t2\n", "motionless\t\t2\n", "HOWLS\t\t2\n", "cry\t\t2\n", "Timmy\t\t2\n", "considers\t\t2\n", "bites\t\t2\n", "panting\t\t2\n", "somehow\t\t2\n", "FACE\t\t2\n", "SCREAM\t\t2\n", "shrieking\t\t2\n", "alcove\t\t2\n", "contemplating\t\t2\n", "cigarette\t\t2\n", "prowls\t\t2\n", "slightly\t\t2\n", "Hi\t\t2\n", "SLAM\t\t2\n", "buzzes\t\t2\n", "talk\t\t2\n", "contact\t\t2\n", "seated\t\t2\n", "nursing\t\t2\n", "paces\t\t2\n", "problem\t\t2\n", "packing\t\t2\n", "deal\t\t2\n", "Administration\t\t2\n", "rights\t\t2\n", "lot\t\t2\n", "Better\t\t2\n", "working\t\t2\n", "busy\t\t2\n", "pick\t\t2\n", "every\t\t2\n", "soaking\t\t2\n", "BUILDING\t\t2\n", "clutches\t\t2\n", "breathing\t\t2\n", "inserts\t\t2\n", "study\t\t2\n", "burn\t\t2\n", "forever\t\t2\n", "slow\t\t2\n", "sitting\t\t2\n", "staying\t\t2\n", "military\t\t2\n", "VAULT\t\t2\n", "bank\t\t2\n", "CYLINDERS\t\t2\n", "pilot\t\t2\n", "old\t\t2\n", "payin\t\t2\n", "freezers\t\t2\n", "isolated\t\t2\n", "passes\t\t2\n", "street\t\t2\n", "greeting\t\t2\n", "rough\t\t2\n", "slack\t\t2\n", "'Top\t\t2\n", "knock\t\t2\n", "assembly\t\t2\n", "unconscious\t\t2\n", "assemble\t\t2\n", "rescue\t\t2\n", "speeding\t\t2\n", "precise\t\t2\n", "ass\t\t2\n", "Across\t\t2\n", "perfect\t\t2\n", "prefer\t\t2\n", "myself\t\t2\n", "involved\t\t2\n", "smiling\t\t2\n", "cornbread\t\t2\n", "knocks\t\t2\n", "brief\t\t2\n", "question\t\t2\n", "fight\t\t2\n", "bug-hunt\t\t2\n", "members\t\t2\n", "died\t\t2\n", "having\t\t2\n", "dinner\t\t2\n", "grabbed\t\t2\n", "uh\t\t2\n", "points\t\t2\n", "cocks\t\t2\n", "thumb\t\t2\n", "Anytime\t\t2\n", "Anywhere\t\t2\n", "Somebody\t\t2\n", "thought\t\t2\n", "Fuck\t\t2\n", "locks\t\t2\n", "Thanks\t\t2\n", "numbers\t\t2\n", "DCS\t\t2\n", "prep\t\t2\n", "FIRING\t\t2\n", "sliding\t\t2\n", "POWER-LOADER\t\t2\n", "throughout\t\t2\n", "Troopers\t\t2\n", "driving\t\t2\n", "movements\t\t2\n", "personal\t\t2\n", "POWER\t\t2\n", "FULL\t\t2\n", "wrist\t\t2\n", "lifting\t\t2\n", "module\t\t2\n", "eyebrow\t\t2\n", "bulky\t\t2\n", "girls\t\t2\n", "double\t\t2\n", "strapping\t\t2\n", "Ready\t\t2\n", "ultimate\t\t2\n", "GUN\t\t2\n", "carries\t\t2\n", "Sure\t\t2\n", "thanks\t\t2\n", "MOTORS\t\t2\n", "lurches\t\t2\n", "launch\t\t2\n", "-APC\t\t2\n", "snatches\t\t2\n", "sudden\t\t2\n", "gees\t\t2\n", "return\t\t2\n", "turbulence\t\t2\n", "Beyond\t\t2\n", "limbo\t\t2\n", "Stand\t\t2\n", "asleep\t\t2\n", "rubs\t\t2\n", "distant\t\t2\n", "TACTICAL\t\t2\n", "MTOB\t\t2\n", "plays\t\t2\n", "upper\t\t2\n", "graphic\t\t2\n", "ammo\t\t2\n", "Pan\t\t2\n", "clatter\t\t2\n", "-STATION\t\t2\n", "forty\t\t2\n", "intact\t\t2\n", "bet\t\t2\n", "seconds\t\t2\n", "sharp\t\t2\n", "extending\t\t2\n", "immediate\t\t2\n", "scans\t\t2\n", "visor\t\t2\n", "lowered\t\t2\n", "though\t\t2\n", "cordon\t\t2\n", "rear\t\t2\n", "advances\t\t2\n", "tractors\t\t2\n", "ripped\t\t2\n", "bypass\t\t2\n", "follow\t\t2\n", "positions\t\t2\n", "few\t\t2\n", "rain\t\t2\n", "drips\t\t2\n", "cannon\t\t2\n", "REVEAL\t\t2\n", "trackers\t\t2\n", "remains\t\t2\n", "silent\t\t2\n", "adjusts\t\t2\n", "gain\t\t2\n", "increasing\t\t2\n", "signs\t\t2\n", "blown\t\t2\n", "touches\t\t2\n", "splash\t\t2\n", "splintered\t\t2\n", "Wait\t\t2\n", "shifts\t\t2\n", "pattern\t\t2\n", "melted\t\t2\n", "somebody\t\t2\n", "FIRST\t\t2\n", "showing\t\t2\n", "trooper\t\t2\n", "sweep\t\t2\n", "missed\t\t2\n", "south\t\t2\n", "safer\t\t2\n", "stop\t\t2\n", "doorway\t\t2\n", "on-line\t\t2\n", "lit\t\t2\n", "outside\t\t2\n", "incredibly\t\t2\n", "remembers\t\t2\n", "walks\t\t2\n", "happens\t\t2\n", "gasping\t\t2\n", "_\t\t2\n", "casually\t\t2\n", "wing\t\t2\n", "completely\t\t2\n", "beams\t\t2\n", "illuminate\t\t2\n", "devastation\t\t2\n", "panels\t\t2\n", "holes\t\t2\n", "squeeze\t\t2\n", "labs\t\t2\n", "storage\t\t2\n", "eye-level\t\t2\n", "STASIS\t\t2\n", "unable\t\t2\n", "fascination\t\t2\n", "cylinder\t\t2\n", "TUBULE\t\t2\n", "likes\t\t2\n", "chart\t\t2\n", "printout\t\t2\n", "surgically\t\t2\n", "Poor\t\t2\n", "Operations\t\t2\n", "position\t\t2\n", "source\t\t2\n", "Which\t\t2\n", "sending\t\t2\n", "Something\t\t2\n", "slashes\t\t2\n", "barrel\t\t2\n", "TRACER\t\t2\n", "FIRE\t\t2\n", "crouches\t\t2\n", "food\t\t2\n", "shot\t\t2\n", "sight\t\t2\n", "ankle\t\t2\n", "thinking\t\t2\n", "latch\t\t2\n", "nest\t\t2\n", "blankets\t\t2\n", "EMPTY\t\t2\n", "bear\t\t2\n", "hug\t\t2\n", "huddled\t\t2\n", "wrapped\t\t2\n", "damage\t\t2\n", "unsnaps\t\t2\n", "leaving\t\t2\n", "hot\t\t2\n", "lips\t\t2\n", "spot\t\t2\n", "cloth\t\t2\n", "abstract\t\t2\n", "keyboard\t\t2\n", "expertly\t\t2\n", "Every\t\t2\n", "adult\t\t2\n", "else\t\t2\n", "towers\t\t2\n", "saddle\t\t2\n", "uses\t\t2\n", "vehicle\t\t2\n", "aft\t\t2\n", "Check\t\t2\n", "pit\t\t2\n", "tableau\t\t2\n", "lattice\t\t2\n", "crudely\t\t2\n", "imitating\t\t2\n", "substance\t\t2\n", "dread\t\t2\n", "s\t\t2\n", "pans\t\t2\n", "bas-relief\t\t2\n", "translucent\t\t2\n", "resin\t\t2\n", "Steam\t\t2\n", "deeper\t\t2\n", "studying\t\t2\n", "standard\t\t2\n", "__\t\t2\n", "Pull\t\t2\n", "carry\t\t2\n", "flamethrowers\t\t2\n", "concealment\t\t2\n", "hangs\t\t2\n", "attached\t\t2\n", "Slides\t\t2\n", "butt\t\t2\n", "thick\t\t2\n", "changing\t\t2\n", "niches\t\t2\n", "hosts\t\t2\n", "embryos\t\t2\n", "tops\t\t2\n", "flower\t\t2\n", "lie\t\t2\n", "figures\t\t2\n", "SNAP\t\t2\n", "Please\t\t2\n", "shriek\t\t2\n", "Flamethrower\t\t2\n", "Move\t\t2\n", "EXPLODES\t\t2\n", "gout\t\t2\n", "SHRILL\t\t2\n", "bio-mechanoid\t\t2\n", "Movement\t\t2\n", "infrared\t\t2\n", "monitors\t\t2\n", "wave\t\t2\n", "terrifying\t\t2\n", "inevitable\t\t2\n", "strikes\t\t2\n", "seizing\t\t2\n", "reflexively\t\t2\n", "horrified\t\t2\n", "striking\t\t2\n", "spin\t\t2\n", "satisfaction\t\t2\n", "simultaneously\t\t2\n", "ferret-quick\t\t2\n", "lay\t\t2\n", "incinerators\t\t2\n", "squads\t\t2\n", "Say\t\t2\n", "garbled\t\t2\n", "dense\t\t2\n", "SPINS\t\t2\n", "Sounds\t\t2\n", "flinches\t\t2\n", "overlap\t\t2\n", "sure\t\t2\n", "situation\t\t2\n", "decision\t\t2\n", "pouring\t\t2\n", "viciously\t\t2\n", "spinning\t\t2\n", "command\t\t2\n", "hysterical\t\t2\n", "buckles\t\t2\n", "loose\t\t2\n", "boiling\t\t2\n", "liquid\t\t2\n", "shoots\t\t2\n", "clawing\t\t2\n", "irrational\t\t2\n", "lever\t\t2\n", "12-gauge\t\t2\n", "trigger\t\t2\n", "armored\t\t2\n", "tears\t\t2\n", "works\t\t2\n", "pivoting\t\t2\n", "trailing\t\t2\n", "fights\t\t2\n", "slews\t\t2\n", "strewn\t\t2\n", "wheels\t\t2\n", "flips\t\t2\n", "skeletal\t\t2\n", "dropped\t\t2\n", "meat\t\t2\n", "dynamo\t\t2\n", "gives\t\t2\n", "bent\t\t2\n", "concussion\t\t2\n", "hey\t\t2\n", "pointing\t\t2\n", "hunched\t\t2\n", "truck\t\t2\n", "109\t\t2\n", "crossing\t\t2\n", "skidding\t\t2\n", "retract\t\t2\n", "site\t\t2\n", "be~-\t\t2\n", "installation\t\t2\n", "dollar\t\t2\n", "pal\t\t2\n", "Corporal\t\t2\n", "offense\t\t2\n", "111\t\t2\n", "112\t\t2\n", "113\t\t2\n", "compartment\t\t2\n", "fu\t\t2\n", "leering\t\t2\n", "approaching\t\t2\n", "ROAR\t\t2\n", "loses\t\t2\n", "sideslipping\t\t2\n", "explodes\t\t2\n", "TREMENDOUS\t\t2\n", "kicking\t\t2\n", "demoralized\t\t2\n", "damaged\t\t2\n", "units\t\t2\n", "scanners\t\t2\n", "seventeen\t\t2\n", "shows\t\t2\n", "electrical\t\t2\n", "117\t\t2\n", "continue\t\t2\n", "forth\t\t2\n", "118\t\t2\n", "119\t\t2\n", "TUNNEL\t\t2\n", "wastebasket\t\t2\n", "bounces\t\t2\n", "quick\t\t2\n", "PORTABLE\t\t2\n", "TORCH\t\t2\n", "pauses\t\t2\n", "Roger\t\t2\n", "welding\t\t2\n", "sparks\t\t2\n", "welder\t\t2\n", "removes\t\t2\n", "anywhere\t\t2\n", "120\t\t2\n", "utterly\t\t2\n", "121\t\t2\n", "sentry-guns\t\t2\n", "exhausted\t\t2\n", "cots\t\t2\n", "O.R\t\t2\n", "glow\t\t2\n", "brushes\t\t2\n", "grow\t\t2\n", "babies\t\t2\n", "plaintive\t\t2\n", "CAMERA\t\t2\n", "heart\t\t2\n", "die\t\t2\n", "desperate\t\t2\n", "returns\t\t2\n", "dream\t\t2\n", "bracelet\t\t2\n", "instruments\t\t2\n", "face-hugger\t\t2\n", "containing\t\t2\n", "lays\t\t2\n", "Bees\t\t2\n", "momma\t\t2\n", "inch\t\t2\n", "123\t\t2\n", "instructions\t\t2\n", "tearing\t\t2\n", "major\t\t2\n", "percentage\t\t2\n", "serious\t\t2\n", "son\t\t2\n", "worth\t\t2\n", "quarantine\t\t2\n", "124\t\t2\n", "checked\t\t2\n", "warn\t\t2\n", "corning\t\t2\n", "TRILLING\t\t2\n", "vibrates\t\t2\n", "targets\t\t2\n", "RSS\t\t2\n", "counters\t\t2\n", "shooting\t\t2\n", "red\t\t2\n", "B-gun\t\t2\n", "Twenty\t\t2\n", "Five\t\t2\n", "BOOMING\t\t2\n", "nerve-wracking\t\t2\n", "jets\t\t2\n", "Emergency\t\t2\n", "thirty\t\t2\n", "align\t\t2\n", "manually\t\t2\n", "stopped\t\t2\n", "motion-sensor\t\t2\n", "cables\t\t2\n", "pistol\t\t2\n", "See\t\t2\n", "CONDUIT\t\t2\n", "Ahead\t\t2\n", "surveillance\t\t2\n", "flashes\t\t2\n", "streamers\t\t2\n", "tracer\t\t2\n", "Fifteen\t\t2\n", "audible\t\t2\n", "O\t\t2\n", "probably\t\t2\n", "perimeter\t\t2\n", "134\t\t2\n", "tension\t\t2\n", "friend\t\t2\n", "30mm\t\t2\n", "hefts\t\t2\n", "cheek\t\t2\n", "136\t\t2\n", "137\t\t2\n", "kick\t\t2\n", "started\t\t2\n", "noticed\t\t2\n", "WITH\t\t2\n", "inarticulate\t\t2\n", "TOWER\t\t2\n", "VIEW\t\t2\n", "telemetry\t\t2\n", "draped\t\t2\n", "drop-bay\t\t2\n", "rotating\t\t2\n", "clearance\t\t2\n", "whine\t\t2\n", "Drop-ship\t\t2\n", "automatically\t\t2\n", "141\t\t2\n", "142\t\t2\n", "GONE\t\t2\n", "LEAPS\t\t2\n", "TOWARD\t\t2\n", "ducks\t\t2\n", "pinning\t\t2\n", "scuttles\t\t2\n", "object\t\t2\n", "pounds\t\t2\n", "vanishes\t\t2\n", "144\t\t2\n", "wailing\t\t2\n", "steadies\t\t2\n", "papers\t\t2\n", "Moving\t\t2\n", "fire-control\t\t2\n", "yelling\t\t2\n", "Medical\t\t2\n", "145\t\t2\n", "tangle\t\t2\n", "AT\t\t2\n", "splashing\t\t2\n", "size\t\t2\n", "backing\t\t2\n", "whips\t\t2\n", "writhing\t\t2\n", "thrashing\t\t2\n", "force\t\t2\n", "flings\t\t2\n", "coil\t\t2\n", "collapses\t\t2\n", "icy\t\t2\n", "pacing\t\t2\n", "aims\t\t2\n", "limit\t\t2\n", "interference\t\t2\n", "Range\t\t2\n", "hand-welder\t\t2\n", "150\t\t2\n", "shower\t\t2\n", "miss\t\t2\n", "151\t\t2\n", "molten\t\t2\n", "crawling\t\t2\n", "LUNGING\t\t2\n", "glare\t\t2\n", "BEHIND\t\t2\n", "filling\t\t2\n", "hurled\t\t2\n", "155\t\t2\n", "oversize\t\t2\n", "rapid-fire\t\t2\n", "detonate\t\t2\n", "hand-torch\t\t2\n", "Gasping\t\t2\n", "158\t\t2\n", "squeal\t\t2\n", "Corne\t\t2\n", "vent\t\t2\n", "DUCT\t\t2\n", "confined\t\t2\n", "intersection\t\t2\n", "becoming\t\t2\n", "higher\t\t2\n", "FIELD\t\t2\n", "WAY\t\t2\n", "searing\t\t2\n", "WARRIOR\t\t2\n", "VERTICAL\t\t2\n", "thigh\t\t2\n", "Sees\t\t2\n", "POWERFUL\t\t2\n", "shockwave\t\t2\n", "161\t\t2\n", "rungs\t\t2\n", "blower\t\t2\n", "drum\t\t2\n", "rung\t\t2\n", "apart\t\t2\n", "SUBBASEMENT\t\t2\n", "machines\t\t2\n", "waist\t\t2\n", "164\t\t2\n", "dripping\t\t2\n", "surface\t\t2\n", "166\t\t2\n", "hysteria\t\t2\n", "helping\t\t2\n", "'RE\t\t2\n", "thunder\t\t2\n", "PLATFORM\t\t2\n", "169\t\t2\n", "fastened\t\t2\n", "assault\t\t2\n", "Dwayne\t\t2\n", "FREIGHT\t\t2\n", "L\t\t2\n", "MARKING\t\t2\n", "parting\t\t2\n", "descent\t\t2\n", "pumps\t\t2\n", "minimum\t\t2\n", "172\t\t2\n", "sealed\t\t2\n", "unleashes\t\t2\n", "weakly\t\t2\n", "glowers\t\t2\n", "fanged\t\t2\n", "abdomen\t\t2\n", "swells\t\t2\n", "sac\t\t2\n", "membrane\t\t2\n", "warning\t\t2\n", "flares\t\t2\n", "falling\t\t2\n", "LIFT\t\t2\n", "STAIRWELL\t\t2\n", "STEEL\t\t2\n", "186-\t\t2\n", "187\t\t2\n", "latches\t\t2\n", "horizon\t\t2\n", "191\t\t2\n", "192\t\t2\n", "mechanisms\t\t2\n", "196\t\t2\n", "lashing\t\t2\n", "lashes\t\t2\n", "forks\t\t2\n", "OVERRIDE\t\t2\n", "farther\t\t2\n", "Mommy\t\t2\n", "capsule\t\t2\n", "200\t\t2\n", "James\t\t1\n", "Cameron\t\t1\n", "FINAL\t\t1\n", "September\t\t1\n", "1985\t\t1\n", "SOMETIME\t\t1\n", "FUTURE\t\t1\n", "Silent\t\t1\n", "endless\t\t1\n", "technology\t\t1\n", "shine\t\t1\n", "Against\t\t1\n", "chip\t\t1\n", "CLOSER\t\t1\n", "ill-fated\t\t1\n", "devoid\t\t1\n", "PING\t\t1\n", "RANGING\t\t1\n", "RADAR\t\t1\n", "Narcissus\t\t1\n", "Searchlights\t\t1\n", "HULL\t\t1\n", "dormant\t\t1\n", "crypt\t\t1\n", "stream\t\t1\n", "dusty\t\t1\n", "Outside\t\t1\n", "CAN\t\t1\n", "BE\t\t1\n", "shuttle\t\t1\n", "tolling\t\t1\n", "bell\t\t1\n", "BASSO\t\t1\n", "PROFUNDO\t\t1\n", "reverberates\t\t1\n", "Light\t\t1\n", "'glares\t\t1\n", "rectangular\t\t1\n", "inward\t\t1\n", "milti-armed\t\t1\n", "ROBOT\t\t1\n", "WELDER\t\t1\n", "FIGURES\t\t1\n", "back-lit\t\t1\n", "MEN\t\t1\n", "bio-isolation\t\t1\n", "sarcophaguslike\t\t1\n", "f.g\t\t1\n", "leader\t\t1\n", "gloved\t\t1\n", "opaque\t\t1\n", "INSIDE\t\t1\n", "stabs\t\t1\n", "wiped\t\t1\n", "illuminating\t\t1\n", "peaceful\t\t1\n", "repose\t\t1\n", "WARRANT\t\t1\n", "sole\t\t1\n", "survivor\t\t1\n", "Nestled\t\t1\n", "JONES\t\t1\n", "wayward\t\t1\n", "LEADER\t\t1\n", "Bio-readouts\t\t1\n", "SPACE/EARTH\t\t1\n", "curve\t\t1\n", "AS\t\t1\n", "sprawling\t\t1\n", "modular\t\t1\n", "orbital\t\t1\n", "habitats\t\t1\n", "viewing\t\t1\n", "portal\t\t1\n", "SECTION\t\t1\n", "HOSPITAL\t\t1\n", "sunlight\t\t1\n", "notorized\t\t1\n", "shield\t\t1\n", "FEMALE\t\t1\n", "amid\t\t1\n", "arcane\t\t1\n", "EQUIPMENT\t\t1\n", "exudes\t\t1\n", "practiced\t\t1\n", "cheeriness\t\t1\n", "someone\t\t1\n", "Feeling\t\t1\n", "stronger\t\t1\n", "runaround\t\t1\n", "Station\t\t1\n", "groggy\t\t1\n", "smiles\t\t1\n", "saved\t\t1\n", "distraction\t\t1\n", "corsses\t\t1\n", "TOMCAT\t\t1\n", "Ignoring\t\t1\n", "for.wear\t\t1\n", "purr\t\t1\n", "Jonesy\t\t1\n", "ugly\t\t1\n", "thrityish\t\t1\n", "handsome\t\t1\n", "suit\t\t1\n", "executive\t\t1\n", "legal\t\t1\n", "tie\t\t1\n", "loosened\t\t1\n", "studied\t\t1\n", "casualness\t\t1\n", "referred\t\t1\n", "'winning\t\t1\n", "Nice\t\t1\n", "Bruke\t\t1\n", "Glad\t\t1\n", "feeling\t\t1\n", "stony\t\t1\n", "genuinely\t\t1\n", "wounded\t\t1\n", "bringing\t\t1\n", "willful\t\t1\n", "negligence\t\t1\n", "·of\t\t1\n", "starters\t\t1\n", "Whoaa\t\t1\n", "ghanges\t\t1\n", "suprisingly\t\t1\n", "strong\t\t1\n", "deflate\t\t1\n", "realization\t\t1\n", "Friends\t\t1\n", "Family\t\t1\n", "drifted\t\t1\n", "core\t\t1\n", "systems\t\t1\n", "blind\t\t1\n", "deep-salvage\t\t1\n", "caught\t\t1\n", "thousand\t\t1\n", "While\t\t1\n", "PUSHED\t\t1\n", "hiss\t\t1\n", "SUBTLE\t\t1\n", "SLOW\t\t1\n", "MOTION\t\t1\n", "bounding\t\t1\n", "coughs\t\t1\n", "chiking\t\t1\n", "dawning\t\t1\n", "unaware\t\t1\n", "nightstand\t\t1\n", "SMASH\t\t1\n", "yowling\t\t1\n", "strangling\t\t1\n", "415\t\t1\n", "4-1-5\t\t1\n", "convulsions\t\t1\n", "TECHS\t\t1\n", "arches\t\t1\n", "nooo\t\t1\n", "restrain\t\t1\n", "races\t\t1\n", "mad\t\t1\n", "Joens\t\t1\n", "hisses\t\t1\n", "airway\t\t1\n", "statl\t\t1\n", "c.c\t\t1\n", "UNDER\t\t1\n", "SHEET\t\t1\n", "Tearing\t\t1\n", "glimpse\t\t1\n", "HORROR\t\t1\n", "snapping\t\t1\n", "hospital\t\t1\n", "gasps\t\t1\n", "pathetically\t\t1\n", "demented\t\t1\n", "focusing\t\t1\n", "Shuddering\t\t1\n", "bathed\t\t1\n", "kneads\t\t1\n", "he~\t\t1\n", "breastbone\t\t1\n", "heel\t\t1\n", "sobs\t\t1\n", "Touching\t\t1\n", "viewport\t\t1\n", "turquoise\t\t1\n", "PARK\t\t1\n", "Sunlight\t\t1\n", "streams\t\t1\n", "verdant\t\t1\n", "meadow\t\t1\n", "bird\t\t1\n", "hopping\t\t1\n", "fal1en·\t\t1\n", "leaves\t\t1\n", "brilliant\t\t1\n", "poplars\t\t1\n", "stalks\t\t1\n", "vlISER\t\t1\n", "confused\t\t1\n", "HIGH-RESOLUTION\t\t1\n", "ENVIRONMENTAL\t\t1\n", "Cinerama\t\t1\n", "video-loop\t\t1\n", "bench\t\t1\n", "ATRIUM\t\t1\n", "usual\t\t1\n", "mode\t\t1\n", "casual\t\t1\n", "haste\t\t1\n", "morning\t\t1\n", "located\t\t1\n", "Weil\t\t1\n", "inquest\t\t1\n", "ABEi\t\t1\n", "briefcase\t\t1\n", "removing\t\t1\n", "sheet\t\t1\n", "printer\t\t1\n", "copy\t\t1\n", "telestat\t\t1\n", "photo\t\t1\n", "Amanda\t\t1\n", "Ripley-Mcclaren\t\t1\n", "Married\t\t1\n", "Age\t\t1\n", "sixty-six\t\t1\n", "ago\t\t1\n", "mid-sixties\t\t1\n", "reconcile\t\t1\n", "Cancer\t\t1\n", "Hmmmm\t\t1\n", "licked\t\t1\n", "Cremated\t\t1\n", "Interred\t\t1\n", "Westlake\t\t1\n", "Repository\t\t1\n", "Little\t\t1\n", "Chute\t\t1\n", "Wisconsin\t\t1\n", "gazes\t\t1\n", "pseudo-landscape\t\t1\n", "promised\t\t1\n", "eleventh\t\t1\n", "promises\t\t1\n", "loss\t\t1\n", "overwhelming\t\t1\n", "silently\t\t1\n", "reassuring\t\t1\n", "convenes\t\t1\n", "0930\t\t1\n", "Elevator\t\t1\n", "mid-conversation\t\t1\n", "deposition\t\t1\n", "complete\t\t1\n", "accurate\t\t1\n", "heavyweights\t\t1\n", "feds\t\t1\n", "interstellar\t\t1\n", "commerce\t\t1\n", "commission\t\t1\n", "colonial\t\t1\n", "insurance\t\t1\n", "picture\t\t1\n", "earwax\t\t1\n", "EIGHT\t\t1\n", "MEMBERS\t\t1\n", "Gray\t\t1\n", "VIDEOSCREEN\t\t1\n", "PARKER\t\t1\n", "goon\t\t1\n", "mugshot\t\t1\n", "BRETT\t\t1\n", "dissier\t\t1\n", "replace\t\t1\n", "KANE\t\t1\n", "LMABERT\t\t1\n", "ASH\t\t1\n", "traitor\t\t1\n", "DALLAS\t\t1\n", "steeples\t\t1\n", "frowns\t\t1\n", "perspective\t\t1\n", "freely\t\t1\n", "admit\t\t1\n", "detonating\t\t1\n", "thereby\t\t1\n", "destroying\t\t1\n", "M-Class\t\t1\n", "rather\t\t1\n", "expensive\t\t1\n", "hardware\t\t1\n", "Forty-two\t\t1\n", "adjusted\t\t1\n", "dollars\t\t1\n", "munus\t\t1\n", "payload\t\t1\n", "corroborates\t\t1\n", "s.ome\t\t1\n", "account\t\t1\n", "Tha-r-Tcr\t\t1\n", "unserveyed\t\t1\n", "resumed\t\t1\n", "subsequently\t\t1\n", "self-destruct\t\t1\n", "By\t\t1\n", "htere\t\t1\n", "concerning\t\t1\n", "allegedly\t\t1\n", "cute\t\t1\n", "Allegedly\t\t1\n", "exasperation\t\t1\n", "wich\t\t1\n", "physical\t\t1\n", "evidence\t\t1\n", "describe\t\t1\n", "blew\t\t1\n", "rep\t\t1\n", "'hostile\t\t1\n", "IQ\t\t1\n", "sharply\t\t1\n", "non\t\t1\n", "Thera\t\t1\n", "spacecraft\t\t1\n", "homed\t\t1\n", "-which\t\t1\n", "surveyed\t\t1\n", "worlds\t\t1\n", "'gestates\t\t1\n", "host\t\t1\n", "'concentrated\t\t1\n", "thousands\t\t1\n", "Thousands\t\t1\n", "listening\t\t1\n", "oatience\t\t1\n", "'just\t\t1\n", "donuts\t\t1\n", "vending\t\t1\n", "minds\t\t1\n", "-LATER\t\t1\n", "Warrant\t\t1\n", "NOC-14472\t\t1\n", "acted\t\t1\n", "questior.able\t\t1\n", "unfit\t\t1\n", "lipped\t\t1\n", "Siad\t\t1\n", "hereby\t\t1\n", "indefinitely\t\t1\n", "criminal\t\t1\n", "filed\t\t1\n", "released\t\t1\n", "recognizance\t\t1\n", "period\t\t1\n", "psychometric\t\t1\n", "probation\t\t1\n", "include\t\t1\n", "monthly\t\t1\n", "review\t\t1\n", "psychiatric\t\t1\n", "video-dossier\t\t1\n", "teh\t\t1\n", "entry\t\t1\n", "FILE\t\t1\n", "DOLLY\t\t1\n", "bangs\t\t1\n", "iurke\t\t1\n", "restraining\t\t1\n", "RIPLEY·\t\t1\n", "Terraformers\t\t1\n", "engineers\t\t1\n", "processors\t\t1\n", "breathable\t\t1\n", "decades\t\t1\n", "'n\t\t1\n", "bake\t\t1\n", "People\t\t1\n", "annoyed\t\t1\n", "Sixty\t\t1\n", "seventy\t\t1\n", "families\t\t1\n", "Families\t\t1\n", "strengthless\t\t1\n", "DAY\t\t1\n", "vista\t\t1\n", "HADLEY\t\t1\n", "HOPE~\t\t1\n", "POP\t\t1\n", "local\t\t1\n", "Gale-force\t\t1\n", "squat\t\t1\n", "surrounded\t\t1\n", "angled\t\t1\n", "storm-barrier\t\t1\n", "SEVERAL\t\t1\n", "ESTABLISHING\t\t1\n", "bunkerlike\t\t1\n", "huddling\t\t1\n", "barren\t\t1\n", "heath\t\t1\n", "massave\t\t1\n", "PROCESSOR\t\t1\n", "bred\t\t1\n", "active\t\t1\n", "bustiling\t\t1\n", "routine\t\t1\n", "cross-section\t\t1\n", "hardy\t\t1\n", "frontier\t\t1\n", "Godforsaken\t\t1\n", "wilderness\t\t1\n", "CHILDREN\t\t1\n", "wheeled\t\t1\n", "toys\t\t1\n", "ROOM/\t\t1\n", "CONTORL\t\t1\n", "nerve-center\t\t1\n", "terminals\t\t1\n", "technicians\t\t1\n", "AHEAD\t\t1\n", "harried\t\t1\n", "approached\t\t1\n", "assistant\t\t1\n", "remember\t\t1\n", "wildcatters\t\t1\n", "week\t\t1\n", "Out\t\t1\n", "Ilium\t\t1\n", "range\t\t1\n", "horn\t\t1\n", "mom-and-pop\t\t1\n", "survey\t\t1\n", "teal\t\t1\n", "l.\t\t1\n", "Says\t\t1\n", "S•\t\t1\n", "s.omething\t\t1\n", "wants\t\t1\n", "particular\t\t1\n", "honch\t\t1\n", "cushy\t\t1\n", "reference\t\t1\n", "'do\t\t1\n", "concerned\t\t1\n", "finds\t\t1\n", "-THE\t\t1\n", "MIDDLE\t\t1\n", "NOWHERE\t\t1\n", "EIGHT-WHEELED\t\t1\n", "corrugated\t\t1\n", "soggy\t\t1\n", "volcanic\t\t1\n", "PINGING\t\t1\n", "scope\t\t1\n", "RUSS\t\t1\n", "independent\t\t1\n", "porspector\t\t1\n", "Beside\t\t1\n", "wife/partner\t\t1\n", "Annie\t\t1\n", "sampling\t\t1\n", "gloating\t\t1\n", "cackle\t\t1\n", "fat\t\t1\n", "magnetic\t\t1\n", "Half\t\t1\n", "-~\t\t1\n", "partners\t\t1\n", "Daddy\t\t1\n", "rich\t\t1\n", "jeering\t\t1\n", "'Monster\t\t1\n", "Maze\t\t1\n", "anymore\t\t1\n", "cheat\t\t1\n", "Knock\t\t1\n", "catch\t\t1\n", "tan\t\t1\n", "hides\t\t1\n", "Mom\t\t1\n", "reverently\t\t1\n", "Holy\t\t1\n", "shiiit\t\t1\n", "FRONT\t\t1\n", "CANOPY\t\t1\n", "bonelike\t\t1\n", "Canted\t\t1\n", "buckled\t\t1\n", "outcorpping\t\t1\n", "lava\t\t1\n", "flow\t\t1\n", "recognizable\t\t1\n", "EXTRATERRESTRIAL\t\t1\n", "Bio-mechanoid\t\t1\n", "Non-human\t\t1\n", "Folks\t\t1\n", "scored\t\t1\n", "enigma\t\t1\n", "aoproaching\t\t1\n", "Should\t\t1\n", "'til\t\t1\n", "'big\t\t1\n", "ENVIRONMENT\t\t1\n", "SUITS\t\t1\n", "Carrying\t\t1\n", "PACKS\t\t1\n", "TEST\t\t1\n", "GEAR\t\t1\n", "chill\t\t1\n", "trudge\t\t1\n", "steaming\t\t1\n", "Watching\t\t1\n", "GRABS\t\t1\n", "SHRIEKS\t\t1\n", "Cheater\t\t1\n", "_14\t\t1\n", "CCNTINUED\t\t1\n", "Newt.·\t\t1\n", "RIPPED\t\t1\n", "~nd\t\t1\n", "dash\t\t1\n", "Repeat\t\t1\n", "Niner\t\t1\n", "calling\t\t1\n", "Alpha\t\t1\n", "Kilo\t\t1\n", "Hadley\t\t1\n", "Control\t\t1\n", "Russ\t\t1\n", "inert\t\t1\n", "dragged\t\t1\n", "appalling\t\t1\n", "MULTILEGGED\t\t1\n", "CREATURE\t\t1\n", "hysterically\t\t1\n", "competing\t\t1\n", "crescendo\t\t1\n", "-GATEWAY\t\t1\n", "Silence\t\t1\n", "haggard\t\t1\n", "dining\t\t1\n", "rising\t\t1\n", "minimal\t\t1\n", "unmade\t\t1\n", "there·\t\t1\n", "dishes\t\t1\n", "sink\t\t1\n", "WALLSCREEN\t\t1\n", "vapid\t\t1\n", "BUZZES\t\t1\n", "dingy\t\t1\n", "·LIEUTENANT\t\t1\n", "Marine\t\t1\n", "Corps\t\t1\n", "Young\t\t1\n", "severe\t\t1\n", "parade\t\t1\n", "uniform\t\t1\n", "Talks\t\t1\n", "ramifications\t\t1\n", "LITTLE\t\t1\n", "coffees\t\t1\n", "tense\t\t1\n", "Hear\t\t1\n", "throw\t\t1\n", "wolves\t\t1\n", "advisor\t\t1\n", "guarantee\t\t1\n", "Marines\t\t1\n", "hombres\t\t1\n", "state~of-the-art\t\t1\n", "firepower\t\t1\n", "trained\t\t1\n", "kinds\t\t1\n", "situations\t\t1\n", "Burkel\t\t1\n", "corporation\t\t1\n", "co-financed\t\t1\n", "mineral\t\t1\n", "terraforming\t\t1\n", "'Building\t\t1\n", "Worlds\t\t1\n", "yeah\t\t1\n", "heard\t\t1\n", "docks\t\t1\n", "Running\t\t1\n", "loaders\t\t1\n", "forklifts\t\t1\n", "wrong\t\t1\n", "reinstated\t\t1\n", "agreed\t\t1\n", "contract\t\t1\n", "chance\t\t1\n", "horse\t\t1\n", "Spare\t\t1\n", "psych\t\t1\n", "evaluation\t\t1\n", "let's-cut-the-crap\t\t1\n", "intimacy\t\t1\n", "sheets\t\t1\n", "sorry~·\t\t1\n", "TRANSLUCENT\t\t1\n", "CARD\t\t1\n", "tormented\t\t1\n", "PITCH\t\t1\n", "animal\t\t1\n", "outcry\t\t1\n", "Bathed\t\t1\n", "PHONE\t\t1\n", "card\t\t1\n", "slot\t\t1\n", "bleary\t\t1\n", "Yello\t\t1\n", "word\t\t1\n", "_off\t\t1\n", "replies\t\t1\n", "change\t\t1\n", "admonishing\t\t1\n", "cynical\t\t1\n", "cat-eyes\t\t1\n", "count\t\t1\n", "DEEP\t\t1\n", "WEEKS\t\t1\n", "starfield\t\t1\n", "Metal\t\t1\n", "spires\t\t1\n", "slice\t\t1\n", "mountain\t\t1\n", "transport\t\t1\n", "Ugly\t\t1\n", "functional\t\t1\n", "Squatting\t\t1\n", "orbit-to-surface\t\t1\n", "shuttles\t\t1\n", "DROP-SHIPS\t\t1\n", "indicators\t\t1\n", "horizontal\t\t1\n", "Locks\t\t1\n", "HYPERS\t\t1\n", "LEEP\t\t1\n", "2S\t\t1\n", "Lit\t\t1\n", "sterile\t\t1\n", "canopies\t\t1\n", "capsules\t\t1\n", "raised\t\t1\n", "Rubs\t\t1\n", "briskly\t\t1\n", "stirring\t\t1\n", "shorts\t\t1\n", "tags\t\t1\n", "MASTER\t\t1\n", "SERGEANT\t\t1\n", "PRIVATES\t\t1\n", "WIERZBOWSKI\t\t1\n", "CROWE\t\t1\n", "plus\t\t1\n", "crew-chief\t\t1\n", "addition\t\t1\n", "EXECUTIVE\t\t1\n", "supervises\t\t1\n", "planetary\t\t1\n", "maneuvering\t\t1\n", "GROANS\t\t1\n", "echo\t\t1\n", "Arrgh\t\t1\n", "Suck\t\t1\n", "snorts\t\t1\n", "naturedly\t\t1\n", "Sergeant\t\t1\n", "whattya\t\t1\n", "waitin\t\t1\n", "breakfast\t\t1\n", "freezing\t\t1\n", "such\t\t1\n", "buncha\t\t1\n", "women\t\t1\n", "fetch\t\t1\n", "slippers\t\t1\n", "Would\t\t1\n", "shuffle\t\t1\n", "nodding\t\t1\n", "cursory\t\t1\n", "hellos\t\t1\n", "camaraderie\t\t1\n", "tight-knit\t\t1\n", "coldly\t\t1\n", "Los\t\t1\n", "Angeles\t\t1\n", "barrio\t\t1\n", "standards\t\t1\n", "combat-primer\t\t1\n", "mistaken\t\t1\n", "contest\t\t1\n", "bond\t\t1\n", "clenches\t\t1\n", "Playful\t\t1\n", "send\t\t1\n", "comin\t\t1\n", "grabass\t\t1\n", "shag\t\t1\n", "SHOWERS\t\t1\n", "freshmeat\t\t1\n", "kinda\t\t1\n", "consultant\t\t1\n", "Whoooah\t\t1\n", "impressed\t\t1\n", "Cycle\t\t1\n", "MESS\t\t1\n", "HALL\t\t1\n", "segregation\t\t1\n", "AUTOCHEF\t\t1\n", "served\t\t1\n", "op\t\t1\n", "Rescue\t\t1\n", "mission\t\t1\n", "daughters\t\t1\n", "virginity\t\t1\n", "Shee-it\t\t1\n", "crap\t\t1\n", "Dumbass\t\t1\n", "Cornbread\t\t1\n", "Arcturan\t\t1\n", "poontang\t\t1\n", "Remember\t\t1\n", "tosses\t\t1\n", "K-Bar\t\t1\n", "proceeds\t\t1\n", "stab\t\t1\n", "spread\t\t1\n", "cheer\t\t1\n", "Inhumanly\t\t1\n", "eat\t\t1\n", "grunts\t\t1\n", "corn\t\t1\n", "cob\t\t1\n", "definitely\t\t1\n", "creases\t\t1\n", "consummate\t\t1\n", "strack\t\t1\n", "NCO\t\t1\n", "sucking\t\t1\n", "scowling\t\t1\n", "examines\t\t1\n", "closely\t\t1\n", "trickle\t\t1\n", "WHITE\t\t1\n", "SYNTHETIC\t\t1\n", "BLOOD\t\t1\n", "accusing\t\t1\n", "occur\t\t1\n", "policy\t\t1\n", "term\t\t1\n", "'artificial\t\t1\n", "malfunctioned\t\t1\n", "shocked\t\t1\n", "Was\t\t1\n", "model\t\t1\n", "Hyperdyne\t\t1\n", "Systems\t\t1\n", "120-A/2\t\t1\n", "conciliatory\t\t1\n", "explains\t\t1\n", "A/2\t\t1\n", "twitchy\t\t1\n", "happen\t\t1\n", "behavioral\t\t1\n", "inhibitors\t\t1\n", "Impossible\t\t1\n", "harm\t\t1\n", "omission\t\t1\n", "allow\t\t1\n", "harmed\t\t1\n", "More\t\t1\n", "halfway\t\t1\n", "bellowing\t\t1\n", "Tench-hut\t\t1\n", "snap-to\t\t1\n", "lounging\t\t1\n", "weaponry\t\t1\n", "ease\t\t1\n", "stand-up\t\t1\n", "xenomorph\t\t1\n", "tfiis\t\t1\n", "parasite\t\t1\n", "tried\t\t1\n", "seemed\t\t1\n", "laid\t\t1\n", "coolly\t\t1\n", "imaginary\t\t1\n", "Yo\t\t1\n", "Kick\t\t1\n", "illegal\t\t1\n", "signed\t\t1\n", "interfere\t\t1\n", "smirking\t\t1\n", "also\t\t1\n", "report\t\t1\n", "disk\t\t1\n", "suggest\t\t1\n", "questions\t\t1\n", "chickenshit\t\t1\n", "outfit\t\t1\n", "smooth\t\t1\n", "database\t\t1\n", "assimilation\t\t1\n", "0830\t\t1\n", "groans\t\t1\n", "Ordnance\t\t1\n", "strip\t\t1\n", "details\t\t1\n", "arrived\t\t1\n", "floats\t\t1\n", "MANEUVERING\t\t1\n", "JETS\t\t1\n", "FORKS\t\t1\n", "PULL\t\t1\n", "belly\t\t1\n", "nacelle\t\t1\n", "forklift\t\t1\n", "we~r\t\t1\n", "robotic\t\t1\n", "exoskeleton\t\t1\n", "powered\t\t1\n", "TOW-MOTORS\t\t1\n", "OVERHEAD\t\t1\n", "ARMS\t\t1\n", "items\t\t1\n", "electronic\t\t1\n", "manifest\t\t1\n", "fieldstripping\t\t1\n", "Around\t\t1\n", "arsenal\t\t1\n", "advanced\t\t1\n", "artillery\t\t1\n", "SMART-GUNS\t\t1\n", "targeted\t\t1\n", "ARMORED\t\t1\n", "PERSONNEL\t\t1\n", "CARRIER\t\t1\n", "Al\t\t1\n", "ONE\t\t1\n", "drive\t\t1\n", "Class\t\t1\n", "rating\t\t1\n", "considering\t\t1\n", "unused\t\t1\n", "skeptical\t\t1\n", "glance\t\t1\n", "SWITCH\t\t1\n", "stirs\t\t1\n", "servos\t\t1\n", "deftly\t\t1\n", "swing\t\t1\n", "brackets\t\t1\n", "appreciatively\t\t1\n", "suiting\t\t1\n", "Strapping\t\t1\n", "COMBAT-ARMOR\t\t1\n", "boys\t\t1\n", "ready-line\t\t1\n", "hulking\t\t1\n", "seats\t\t1\n", "SOUNDS\t\t1\n", "drives\t\t1\n", "exaggerated\t\t1\n", "predatory\t\t1\n", "£\t\t1\n", "l·\t\t1\n", "Check-it-out\t\t1\n", "state\t\t1\n", "art\t\t1\n", "worry\t\t1\n", "badasses\t\t1\n", "Check-\t\t1\n", "it-out\t\t1\n", "SERVO-CANNON\t\t1\n", "Independently\t\t1\n", "targeting\t\t1\n", "particle-beam\t\t1\n", "phalanx\t\t1\n", "VWAP\t\t1\n", "Fry\t\t1\n", "city\t\t1\n", "puppy\t\t1\n", "smart-missiles\t\t1\n", "phased-plasma\t\t1\n", "RPG\t\t1\n", "sonic\t\t1\n", "eeelectronic\t\t1\n", "ballbreakers\t\t1\n", "nukes\t\t1\n", "knives\t\t1\n", "shark\t\t1\n", "Save\t\t1\n", "eagerly\t\t1\n", "sport\t\t1\n", "fishing\t\t1\n", "gas-chamber\t\t1\n", "pellet\t\t1\n", "cargo-lock\t\t1\n", "rig\t\t1\n", "Acheron\t\t1\n", "yawns\t\t1\n", "Initiate\t\t1\n", "release\t\t1\n", "sequencer\t\t1\n", "mark\t\t1\n", "Three\t\t1\n", "Mark\t\t1\n", "-DROP-SHIP\t\t1\n", "Clamps\t\t1\n", "stalking\t\t1\n", "handhold\t\t1\n", "groan\t\t1\n", "at.the\t\t1\n", "stratosphere\t\t1\n", "plunging\t\t1\n", "gray\t\t1\n", "Switching\t\t1\n", "ranging\t\t1\n", "Two-four-o\t\t1\n", "Nominal\t\t1\n", "Picking\t\t1\n", "ionization\t\t1\n", "Rough\t\t1\n", "chop\t\t1\n", "Pale\t\t1\n", "repeatedly\t\t1\n", "buck\t\t1\n", "Sweating\t\t1\n", "Thirty-eight\t\t1\n", "simulated\t\t1\n", "Including\t\t1\n", "do-you-believe-this-shit\t\t1\n", "expressions\t\t1\n", "accusingly\t\t1\n", "Turning\t\t1\n", "Coming\t\t1\n", "seven-zero-niner\t\t1\n", "Terminal\t\t1\n", "guidance\t\t1\n", "haze\t\t1\n", "BEACONS\t\t1\n", "Stumbling\t\t1\n", "pitches\t\t1\n", "MOBILE\t\t1\n", "director\t\t1\n", "labelled\t\t1\n", "names\t\t1\n", "soldier\t\t1\n", "IMAGE-INTENSIFIED\t\t1\n", "helmets\t\t1\n", "BIO-MONITORS\t\t1\n", "EEG\t\t1\n", "life-function\t\t1\n", "Other\t\t1\n", "EXTERIOR\t\t1\n", "VIEWS\t\t1\n", "whacks\t\t1\n", "malfunction\t\t1\n", "Fire-team\t\t1\n", "Gear\t\t1\n", "don\t\t1\n", "backpacks\t\t1\n", "buckle\t\t1\n", "harnesses\t\t1\n", "loom\t\t1\n", "processor\t\t1\n", "Helluva\t\t1\n", "Completely\t\t1\n", "automated\t\t1\n", "manufacture\t\t1\n", "circles\t\t1\n", "THUNDERING\t\t1\n", "Lear\t\t1\n", "zooming\t\t1\n", "Slow\t\t1\n", "dispersal\t\t1\n", "Figures\t\t1\n", "Immediate\t\t1\n", "'clear\t\t1\n", "peels\t\t1\n", "circling\t\t1\n", "intensifier\t\t1\n", "CREW\t\t1\n", "Spread\t\t1\n", "starlight-scope\t\t1\n", "Bright\t\t1\n", "sunny\t\t1\n", "contrasty\t\t1\n", "lurid\t\t1\n", "Trash\t\t1\n", "yours\t\t1\n", "Sprinting\t\t1\n", "skirmish\t\t1\n", "entry-lock\t\t1\n", "Parked\t\t1\n", "heavy-duty\t\t1\n", "crowbar\t\t1\n", "axe\t\t1\n", "flanking\t\t1\n", "Sealed\t\t1\n", "business\t\t1\n", "pries\t\t1\n", "facing\t\t1\n", "clipping\t\t1\n", "wires\t\t1\n", "structures\t\t1\n", "neon\t\t1\n", "creaks\t\t1\n", "connection\t\t1\n", "tracks\t\t1\n", "rumbles\t\t1\n", "wrecked\t\t1\n", "Flanking\t\t1\n", "FORWARD\t\t1\n", "broad\t\t1\n", "Farther\t\t1\n", "blast-holes\t\t1\n", "Evidence\t\t1\n", "fire-fight\t\t1\n", "arc\t\t1\n", "bobbing\t\t1\n", "Quarter\t\t1\n", "search\t\t1\n", "twos\t\t1\n", "Use\t\t1\n", "Aims\t\t1\n", "rugged\t\t1\n", "hall\t\t1\n", "'·-58\t\t1\n", "et\t\t1\n", "college\t\t1\n", "laughs\t\t1\n", "burnt-out\t\t1\n", "admitting\t\t1\n", "half-eaten\t\t1\n", "overflowing\t\t1\n", "rainwater\t\t1\n", "LOWER\t\t1\n", "QUARTERS\t\t1\n", "men\t\t1\n", "searching\t\t1\n", "systematically\t\t1\n", "pairs\t\t1\n", "modest\t\t1\n", "apartments\t\t1\n", "cubicles\t\t1\n", "flanks\t\t1\n", "color\t\t1\n", "Dried\t\t1\n", "BEEPS\t\t1\n", "BEEPING\t\t1\n", "frequent\t\t1\n", "half-open\t\t1\n", "Holes\t\t1\n", "caused\t\t1\n", "pepper\t\t1\n", "Kicks\t\t1\n", "Tenses\t\t1\n", "dangling\t\t1\n", "~lex\t\t1\n", "junction-box\t\t1\n", "pendulum\t\t1\n", "broken\t\t1\n", "clacks\t\t1\n", "rails\t\t1\n", "bunk\t\t1\n", "plugs\t\t1\n", "jack\t\t1\n", "Hmm\t\t1\n", "bagged\t\t1\n", "gaping\t\t1\n", "maintenance\t\t1\n", "status\t\t1\n", "Whatever\t\t1\n", "secured\t\t1\n", "cupping\t\t1\n", "sot\t\t1\n", "voce\t\t1\n", "Pendejo\t\t1\n", "jerkoff\t\t1\n", "entrance\t\t1\n", "eyeing\t\t1\n", "meets\t\t1\n", "Shakes\t\t1\n", "present\t\t1\n", "cycles\t\t1\n", "clang\t\t1\n", "desolate\t\t1\n", "Unarmed\t\t1\n", "tank\t\t1\n", "Leaps\t\t1\n", "Hit\t\t1\n", "SOUTH\t\t1\n", "rumbling\t\t1\n", "whines\t\t1\n", "door-controls\t\t1\n", "unfamiliar\t\t1\n", "alone\t\t1\n", "howling\t\t1\n", "relaxes\t\t1\n", "Glances\t\t1\n", "Scare\t\t1\n", "precede\t\t1\n", "bowels\t\t1\n", "write\t\t1\n", "unconcerned\t\t1\n", "insured\t\t1\n", "reacting\t\t1\n", "fact\t\t1\n", "alien-country\t\t1\n", "ravaged\t\t1\n", "Fire-gutted\t\t1\n", "·ready\t\t1\n", "two-man\t\t1\n", "protective\t\t1\n", "Trooper\t\t1\n", "pack\t\t1\n", "REVEALS\t\t1\n", "flee\t\t1\n", "blocking\t\t1\n", "hastily-welded\t\t1\n", "steel-plate\t\t1\n", "outer-door\t\t1\n", "slashed\t\t1\n", "scratched\t\t1\n", "hideously\t\t1\n", "forces\t\t1\n", "peeled\t\t1\n", "soup\t\t1\n", "pack-lights\t\t1\n", "ditch\t\t1\n", "uprooted\t\t1\n", "add\t\t1\n", "barrier\t\t1\n", "Last\t\t1\n", "helluva\t\t1\n", "entered\t\t1\n", "transparent\t\t1\n", "TUBES\t\t1\n", "SEVERED\t\t1\n", "ARTHRITIC\t\t1\n", "HANDS\t\t1\n", "palsied\t\t1\n", "death-rictus\t\t1\n", "speak\t\t1\n", "touching\t\t1\n", "pearlescent\t\t1\n", "tonguelike\t\t1\n", "slithers\t\t1\n", "Only\t\t1\n", "taps\t\t1\n", "file-folder\t\t1\n", "hand-written\t\t1\n", "Removed\t\t1\n", "embryo\t\t1\n", "implantation·\t\t1\n", "Subject\t\t1\n", "Marachuk\t\t1\n", "John\t\t1\n", "L.\t\t1\n", "Died\t\t1\n", "during\t\t1\n", "procedure\t\t1\n", "killed\t\t1\n", "bastard\t\t1\n", "startled\t\t1\n", "LOUD\t\t1\n", "Anybody\t\t1\n", "D-Block\t\t1\n", "Negative\t\t1\n", "reluctantly\t\t1\n", "complicated\t\t1\n", "levelled\t\t1\n", "cannister\t\t1\n", "CLANGING\t\t1\n", "trips\t\t1\n", "toppling\t\t1\n", "Pivoting\t\t1\n", "STREAM\t\t1\n", "ignores\t\t1\n", "aiming\t\t1\n", "Trusting\t\t1\n", "pack-light\t\t1\n", "cowering\t\t1\n", "dirty\t\t1\n", "packet\t\t1\n", "gnawed\t\t1\n", "DOLL\t\t1\n", "soothingly\t\t1\n", "scuttling\t\t1\n", "cabinetry\t\t1\n", "grab\t\t1\n", "catching\t\t1\n", "Ow\t\t1\n", "Shit\t\t1\n", "Watchit\t\t1\n", "baseboard\t\t1\n", "cares\t\t1\n", "backed\t\t1\n", "cul-de-sac\t\t1\n", "NEST\t\t1\n", "built\t\t1\n", "Wadded\t\t1\n", "pillows\t\t1\n", "mixed\t\t1\n", "haphazard\t\t1\n", "TOYS\t\t1\n", "STUFFED\t\t1\n", "ANIMALS\t\t1\n", "DOLLS\t\t1\n", "CHEAP\t\t1\n", "JEWELRY\t\t1\n", "COMIC\t\t1\n", "BOOKS\t\t1\n", "FOOD\t\t1\n", "PACKETS\t\t1\n", "battery-operated\t\t1\n", "TAPE\t\t1\n", "PLAYER\t\t1\n", "edges\t\t1\n", "controlling\t\t1\n", "vet\t\t1\n", "limp\t\t1\n", "catatonic\t\t1\n", "stare\t\t1\n", "vacant\t\t1\n", "traumatized\t\t1\n", "A66\t\t1\n", "amidst\t\t1\n", "FRAMED\t\t1\n", "dressed\t\t1\n", "ribbon\t\t1\n", "embossed\t\t1\n", "gold\t\t1\n", "letters\t\t1\n", "GRADE\t\t1\n", "CITIZENSHIP\t\t1\n", "AWARD\t\t1\n", "REBECCA\t\t1\n", "BIO-MONITORING\t\t1\n", "CUFF\t\t1\n", "Concentrate\t\t1\n", "beginning\t\t1\n", "response\t\t1\n", "mug\t\t1\n", "Give\t\t1\n", "rest\t\t1\n", "sigh\t\t1\n", "dismissal\t\t1\n", "brainlock\t\t1\n", "Physically\t\t1\n", "Borderline\t\t1\n", "malnutrition\t\t1\n", "I_\t\t1\n", "permanent\t\t1\n", "bio-monitoring\t\t1\n", "cuff\t\t1\n", "wasting\t\t1\n", "join\t\t1\n", "brushing\t\t1\n", "unkempt\t\t1\n", "maternal\t\t1\n", "fashion\t\t1\n", "chocolate\t\t1\n", "wraps\t\t1\n", "Raises\t\t1\n", "drinks\t\t1\n", "mechanically\t\t1\n", "spilling\t\t1\n", "Most\t\t1\n", "saying\t\t1\n", "made·a\t\t1\n", "Guess\t\t1\n", "pours\t\t1\n", "squeeze-bottle\t\t1\n", "washes\t\t1\n", "Hard\t\t1\n", "teams\t\t1\n", "main-colony\t\t1\n", "groundplan\t\t1\n", "Searching\t\t1\n", "bashes\t\t1\n", "dancing\t\t1\n", "PDT\t\t1\n", "Personal-Data\t\t1\n", "Transmitters\t\t1\n", "colonist\t\t1\n", "implanted\t\t1\n", "klicks\t\t1\n", "zip\t\t1\n", "washing\t\t1\n", "pink\t\t1\n", "skin\t\t1\n", "emerging\t\t1\n", "grime\t\t1\n", "brave\t\t1\n", "_but\t\t1\n", "inaudible\t\t1\n", "N-newt\t\t1\n", "single\t\t1\n", "syllable\t\t1\n", "incomprehensible\t\t1\n", "n-name\t\t1\n", "calls\t\t1\n", "except\t\t1\n", "speaks\t\t1\n", "wanting\t\t1\n", "spell\t\t1\n", "Pleased\t\t1\n", "Does\t\t1\n", "disembodied\t\t1\n", "clutched\t\t1\n", "filthy\t\t1\n", "Hello\t\t1\n", "hiding\t\t1\n", "family\t\t1\n", "Sisters\t\t1\n", "Morn\t\t1\n", "irnperceptably\t\t1\n", "Dead\t\t1\n", "chilling\t\t1\n", "certainty\t\t1\n", "soldiers\t\t1\n", "distantly\t\t1\n", "difference\t\t1\n", "triumphantly\t\t1\n", "Hahl\t\t1\n", "Stop\t\t1\n", "grinnin\t\t1\n", "linen\t\t1\n", "Found\t\t1\n", "GORDON\t\t1\n", "Alive\t\t1\n", "Unknown\t\t1\n", "amoebalike\t\t1\n", "dots\t\t1\n", "clumped\t\t1\n", "meeting\t\t1\n", "76-A\t\t1\n", "diversion\t\t1\n", "bolting\t\t1\n", "rodent\t\t1\n", "grabbing\t\t1\n", "bite\t\t1\n", "earlier\t\t1\n", "Hope\t\t1\n", "rabies\t\t1\n", "TWILIGHT\t\t1\n", "stygian\t\t1\n", "swaying\t\t1\n", "bouncing\t\t1\n", "heavily\t\t1\n", "sprung\t\t1\n", "cockpit\t\t1\n", "rivetted\t\t1\n", "looms\t\t1\n", "76-\t\t1\n", "APC-STATION\t\t1\n", "parked\t\t1\n", "Deploying\t\t1\n", "backlit\t\t1\n", "cast\t\t1\n", "depthless\t\t1\n", "vessels\t\t1\n", "Forty\t\t1\n", "bearing\t\t1\n", "GOru-'.AN\t\t1\n", "proceed\t\t1\n", "one-two-five\t\t1\n", "descend\t\t1\n", "Huddled\t\t1\n", "making\t\t1\n", "refinerylike\t\t1\n", "Among\t\t1\n", "plumbing\t\t1\n", "encrusted\t\t1\n", "Proceed\t\t1\n", "ente~\t\t1\n", "organic\t\t1\n", "labyrinth\t\t1\n", "BIO-MECHANICAL\t\t1\n", "LATTICE\t\t1\n", "various\t\t1\n", "helmet-camera\t\t1\n", "detail\t\t1\n", "detritus\t\t1\n", "wiring\t\t1\n", "bones\t\t1\n", "skulls\t\t1\n", "fused\t\t1\n", "epoxylike\t\t1\n", "secreted\t\t1\n", "Hotter'n\t\t1\n", "_heat\t\t1\n", "readout\t\t1\n", "GROUND\t\t1\n", "PLAN\t\t1\n", "mm\t\t1\n", "explosive-tip\t\t1\n", "caseless\t\t1\n", "light-armor\t\t1\n", "piercing\t\t1\n", "primary\t\t1\n", "exchangers\t\t1\n", "'~\t\t1\n", "rupture\t\t1\n", "fusion\t\t1\n", "reactor\t\t1\n", "thermonuclear\t\t1\n", "Adios\t\t1\n", "muchachos\t\t1\n", "Wonderful\t\t1\n", "Shitl\t\t1\n", "collect\t\t1\n", "everybody\t\t1\n", "crazy\t\t1\n", "to·use\t\t1\n", "language\t\t1\n", "Flame-units\t\t1\n", "rifles\t\t1\n", "slung\t\t1\n", "collecting\t\t1\n", "rucksack\t\t1\n", "unsling\t\t1\n", "spare\t\t1\n", "leather\t\t1\n", "quiver\t\t1\n", "battle-harness\t\t1\n", "oldstyle\t\t1\n", "PUMP\t\t1\n", "TWELVE-GUAGE\t\t1\n", "sawed-off\t\t1\n", "Chambers\t\t1\n", "handy\t\t1\n", "encounters\t\t1\n", "Lights\t\t1\n", "flare\t\t1\n", "Zip\t\t1\n", "entombed\t\t1\n", "COCOONS\t\t1\n", "protrude\t\t1\n", "interstices\t\t1\n", "epoxy\t\t1\n", "Rib\t\t1\n", "cages\t\t1\n", "outward\t\t1\n", "exploded\t\t1\n", "Paralyzed\t\t1\n", "grew\t\t1\n", "Arrayed\t\t1\n", "LEATHERY\t\t1\n", "OVOIDS\t\t1\n", "petals\t\t1\n", "Empty\t\t1\n", "multi-legged\t\t1\n", "shrivelled\t\t1\n", "spider\t\t1\n", "Others\t\t1\n", "graphically\t\t1\n", "illustrating\t\t1\n", "life-cycle\t\t1\n", "examine\t\t1\n", "perhaps\t\t1\n", "recent\t\t1\n", "ghost-white\t\t1\n", "EYES\t\t1\n", "plead\t\t1\n", "feebly\t\t1\n", "white-knuckled\t\t1\n", "convulse\t\t1\n", "sawing\t\t1\n", "SMALL\t\t1\n", "FANGED\t\t1\n", "EMERGES\t\t1\n", "HISSING\t\t1\n", "VICIOUSLY\t\t1\n", "trigger.·\t\t1\n", "orgy\t\t1\n", "purging\t\t1\n", "cocoons\t\t1\n", "vanish\t\t1\n", "shimmering\t\t1\n", "siren\t\t1\n", "fingernails\t\t1\n", "blackboards\t\t1\n", "Unseen\t\t1\n", "SHAPES\t\t1\n", "themselves\t\t1\n", "Visibility\t\t1\n", "Talk\t\t1\n", "signals\t\t1\n", "image-intensifier\t\t1\n", "visors\t\t1\n", "senses\t\t1\n", "glimpses\t\t1\n", "grotto\t\t1\n", "readings\t\t1\n", "don't~\t\t1\n", "outta\t\t1\n", "grios\t\t1\n", "wild\t\t1\n", "ENGULFS\t\t1\n", "VOOM\t\t1\n", "catapulted\t\t1\n", "pillar\t\t1\n", "head-on\t\t1\n", "turned\t\t1\n", "bio-readouts\t\t1\n", "FLAT-LINE\t\t1\n", "UP\t\t1\n", "pivotting\t\t1\n", "dance\t\t1\n", "Thurtder\t\t1\n", "sex\t\t1\n", "Godammit\t\t1\n", "ordered\t\t1\n", "GET\t\t1\n", "THERE\t\t1\n", "DO\t\t1\n", "NOW\t\t1\n", "Shut\t\t1\n", "suppressing\t\t1\n", "agian\t\t1\n", "uncertain\t\t1\n", "Crowe_\t\t1\n", "Sound\t\t1\n", "CRAZILY\t\t1\n", "whites\t\t1\n", "phantoms\t\t1\n", "unfolds\t\t1\n", "frequency\t\t1\n", "life-signs\t\t1\n", "plummet\t\t1\n", "Voices\t\t1\n", "blend\t\t1\n", "freaked\t\t1\n", "Sarge\t\t1\n", "Fucking\t\t1\n", "ashen\t\t1\n", "Confused\t\t1\n", "Gulping\t\t1\n", "grouper\t\t1\n", "unravelled\t\t1\n", "brain\t\t1\n", "furious\t\t1\n", "Shouldering\t\t1\n", "Starts\t\t1\n", "slapping\t\t1\n", "drive-wheels\t\t1\n", "rampway\t\t1\n", "drive-wheel\t\t1\n", "actuators\t\t1\n", "pivot\t\t1\n", "abandoning\t\t1\n", "Turn\t\t1\n", "order\t\t1\n", "teari_ng\t\t1\n", "outcropping\t\t1\n", "alien-encrustation\t\t1\n", "floodlights\t\t1\n", "Strobe-beacon\t\t1\n", "Siren\t\t1\n", "homes\t\t1\n", "weapons-fire\t\t1\n", "crashes\t\t1\n", "supporting\t\t1\n", "limping\t\t1\n", "broadside\t\t1\n", "prone\t\t1\n", "Clean\t\t1\n", "grin\t\t1\n", "blowing\t\t1\n", "thorax\t\t1\n", "BRIGHT\t\t1\n", "YELLOW\t\t1\n", "ACID\t\t1\n", "butter\t\t1\n", "triggering\t\t1\n", "engulfing\t\t1\n", "napalm\t\t1\n", "insiee\t\t1\n", "downJ\t\t1\n", "drag\t\t1\n", "reverse\t\t1\n", "Nails\t\t1\n", "bellows\t\t1\n", "CLAWS\t\t1\n", "WRENCHED\t\t1\n", "OUTSIDE\t\t1\n", "latching\t\t1\n", "frees\t\t1\n", "raise\t\t1\n", "wedges\t\t1\n", "mouth\t\t1\n", "SHOTGUN\t\t1\n", "MUZZLE\t\t1\n", "BLAM\t\t1\n", "flung\t\t1\n", "fountaining\t\t1\n", "eats\t\t1\n", "backw~rd\t\t1\n", "Tears\t\t1\n", "pile\t\t1\n", "shifters\t\t1\n", "Pandemonium\t\t1\n", "catwalk\t\t1\n", "flank\t\t1\n", "comet\t\t1\n", "broadsiding\t\t1\n", "out-building\t\t1\n", "Office\t\t1\n", "sections\t\t1\n", "smashes\t\t1\n", "windshield\t\t1\n", "Glistening\t\t1\n", "106\t\t1\n", "recoils\t\t1\n", "Face\t\t1\n", "mind-numbing\t\t1\n", "reacts\t\t1\n", "instirlctively\t\t1\n", "brakes\t\t1\n", "headlights\t\t1\n", "abomination\t\t1\n", "crushed\t\t1\n", "thunders\t\t1\n", "grinder\t\t1\n", "OaCK\t\t1\n", "knuckled\t\t1\n", "Ease\t\t1\n", "deafening\t\t1\n", "slows\t\t1\n", "transaxle\t\t1\n", "AFC/LANDSCAPE\t\t1\n", "limps\t\t1\n", "halt\t\t1\n", "acid-scarred\t\t1\n", "HALF-KILOMETER\t\t1\n", "adrenaline\t\t1\n", "spots\t\t1\n", "wedged\t\t1\n", "driv~r\t\t1\n", "bulkhead\t\t1\n", "basket\t\t1\n", "catatonia\t\t1\n", "10•\t\t1\n", "THUMPS-UP\t\t1\n", "stoic\t\t1\n", "jerks\t\t1\n", "checking\t\t1\n", "nasty\t\t1\n", "collar\t\t1\n", "hauling\t\t1\n", "roughly\t\t1\n", "pulp\t\t1\n", "fist\t\t1\n", "Wake\t\t1\n", "pendejo\t\t1\n", "useless\t\t1\n", "bio-function\t\t1\n", "panicky\t\t1\n", "happening\t\t1\n", "ocular\t\t1\n", "probe\t\t1\n", "dissection\t\t1\n", "electronics\t\t1\n", "parks\t\t1\n", "lOE\t\t1\n", "AB6\t\t1\n", "Need\t\t1\n", "tarmac\t\t1\n", "nears\t\t1\n", "boot\t\t1\n", "Kneeling\t\t1\n", "puddle\t\t1\n", "slime\t\t1\n", "wired\t\t1\n", "canisters\t\t1\n", "CN-20\t\t1\n", "nerve\t\t1\n", "affect\t\t1\n", "bug\t\t1\n", "it~\t\t1\n", 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"via\t\t1\n", "plight\t\t1\n", "activated\t\t1\n", "cycle\t\t1\n", "calmly\t\t1\n", "Excellent\t\t1\n", "143\t\t1\n", "high-impact\t\t1\n", "thin\t\t1\n", "dependence\t\t1\n", "Removes\t\t1\n", "lighter\t\t1\n", "pocket\t\t1\n", "boosts\t\t1\n", "SURGICAL\t\t1\n", "TABLE\t\t1\n", "clambers\t\t1\n", "scared\t\t1\n", "temperature-sensor\t\t1\n", "SPRINKLER\t\t1\n", "triggers\t\t1\n", "sources\t\t1\n", "tne\t\t1\n", "identifying\t\t1\n", "drenched\t\t1\n", "drizzle\t\t1\n", "surgical\t\t1\n", "MULTILIGHT\t\t1\n", "topples\t\t1\n", "clings\t\t1\n", "driven\t\t1\n", "spring\t\t1\n", "avoiding\t\t1\n", "Dumbling\t\t1\n", "abjectly\t\t1\n", "tighten\t\t1\n", "CLATTERING\t\t1\n", "crablike\t\t1\n", "her.·\t\t1\n", "wails\t\t1\n", "gritted\t\t1\n", "leg\t\t1\n", "chittering\t\t1\n", "claw\t\t1\n", "surer\t\t1\n", "heud\t\t1\n", "extrudes\t\t1\n", "wetly\t\t1\n", "sheath\t\t1\n", "crossed\t\t1\n", "misted-over\t\t1\n", "pulse-fire\t\t1\n", "tempered\t\t1\n", "crazed\t\t1\n", "spiderweb\t\t1\n", "beast\t\t1\n", "Between\t\t1\n", "losing\t\t1\n", "tightens\t\t1\n", "sickeningly\t\t1\n", "Point-blank\t\t1\n", "unwinding\t\t1\n", "length\t\t1\n", "boa\t\t1\n", "constrictor\t\t1\n", "SHRIEKING\t\t1\n", ".45\t\t1\n", "scrabbles\t\t1\n", "upright\t\t1\n", "gagging\t\t1\n", "coughing\t\t1\n", "decidedly\t\t1\n", "stressed-out\t\t1\n", "AIMED\t\t1\n", "grease\t\t1\n", "ratfuck\t\t1\n", "GROUP\t\t1\n", "Qround\t\t1\n", "maintaining\t\t1\n", "although\t\t1\n", "beads\t\t1\n", "betray\t\t1\n", "concealed\t\t1\n", "figured\t\t1\n", "impregnated\t\t1\n", "whatever\t\t1\n", "minute\t\t1\n", "sabotaged\t\t1\n", "certain\t\t1\n", "jettison\t\t1\n", "liked\t\t1\n", "Fuuuck\t\t1\n", "total\t\t1\n", "paranoid\t\t1\n", "delusion\t\t1\n", "pitiful\t\t1\n", "screwing\t\t1\n", "waste\t\t1\n", "giving\t\t1\n", "sickened\t\t1\n", "someplace\t\t1\n", "instinctively\t\t1\n", "escalation\t\t1\n", "Doors\t\t1\n", "Video\t\t1\n", "animals\t\t1\n", "thumbs\t\t1\n", ".48\t\t1\n", "barriers\t\t1\n", "opposite\t\t1\n", "ends\t\t1\n", "block\t\t1\n", "Anything\t\t1\n", "147\t\t1\n", "stay'cool\t\t1\n", "VASQUE\t\t1\n", "i\t\t1\n", "Fall\t\t1\n", "backtracks\t\t1\n", "peering\t\t1\n", "stretched\t\t1\n", "148\t\t1\n", ".•.•\t\t1\n", "laying\t\t1\n", "armament\t\t1\n", "Grenades\t\t1\n", "SCENE\t\t1\n", "Signal\t\t1\n", "Seal\t\t1\n", "comply\t\t1\n", "Seventeen\t\t1\n", "Definitely\t\t1\n", "Sparks\t\t1\n", "floors\t\t1\n", "plans\t\t1\n", "scanner\t\t1\n", "l50\t\t1\n", "Twelve\t\t1\n", "heedlessly\t\t1\n", "welds\t\t1\n", "Working\t\t1\n", "Nine\t\t1\n", "Eight\t\t1\n", "readin\t\t1\n", "fiddles\t\t1\n", "adjusting\t\t1\n", "tuning\t\t1\n", "Six\t\t1\n", "dawns\t\t1\n", "premonitory\t\t1\n", "angles\t\t1\n", "accoustic\t\t1\n", "drop-ceiling\t\t1\n", "soul-wrenching\t\t1\n", "bats\t\t1\n", "upside-down\t\t1\n", "structural\t\t1\n", "sanctum\t\t1\n", "violated\t\t1\n", "detach\t\t1\n", "en-masse\t\t1\n", "handholds\t\t1\n", "CEILING\t\t1\n", "raining\t\t1\n", "Nightmare\t\t1\n", "handed\t\t1\n", "scoops\t\t1\n", "staggers\t\t1\n", "l55\t\t1\n", "strobelike\t\t1\n", "aliens\t\t1\n", "HE\t\t1\n", "SLIDES\t\t1\n", "153\t\t1\n", "Hears\t\t1\n", "Open\t\t1\n", "locomotive\t\t1\n", "Shaking\t\t1\n", "NOTHING\t\t1\n", "HAPPENS\t\t1\n", "SAFETY\t\t1\n", "DIGITAL\t\t1\n", "COUNTER\t\t1\n", "wail\t\t1\n", "chambering\t\t1\n", "Whips\t\t1\n", "FLASH-CRACK\t\t1\n", "FLASHBULB\t\t1\n", "GLIMPSE\t\t1\n", "screeching\t\t1\n", "insanely\t\t1\n", "tripped\t\t1\n", "SIREN\t\t1\n", "pandemonium\t\t1\n", "Fuckin\t\t1\n", "clawed\t\t1\n", "seize\t\t1\n", "subfloor\t\t1\n", "crawlway\t\t1\n", "materialize\t\t1\n", "154\t\t1\n", ",7\t\t1\n", "indicating\t\t1\n", "Inhuman\t\t1\n", "shells\t\t1\n", "droplets\t\t1\n", "156\t\t1\n", "cubicle\t\t1\n", "sounding\t\t1\n", "gonglike\t\t1\n", "WELD\t\t1\n", "157\t\t1\n", "hyperventilating\t\t1\n", "concourse\t\t1\n", "fate\t\t1\n", "dimples\t\t1\n", "clanging\t\t1\n", "impact\t\t1\n", "separating\t\t1\n", "tugs\t\t1\n", "unlatches\t\t1\n", ".59\t\t1\n", "trades\t\t1\n", "flamethrowe.r\t\t1\n", "protest\t\t1\n", "rearguard\t\t1\n", "Glancing\t\t1\n", "fearfully\t\t1\n", "Crawl\t\t1\n", "faster\t\t1\n", "larger\t\t1\n", "crab-walk\t\t1\n", "crouch\t\t1\n", "clatters\t\t1\n", "Clear\t\t1\n", "sprint\t\t1\n", "periodically\t\t1\n", "covered\t\t1\n", "louvered\t\t1\n", "grilles\t\t1\n", "unintelligible\t\t1\n", "radio\t\t1\n", "UP-LINK\t\t1\n", "RELAY\t\t1\n", "mast\t\t1\n", "gusting\t\t1\n", "overenunciating\t\t1\n", "ETA\t\t1\n", "sixteen\t\t1\n", "weather\t\t1\n", "blurring\t\t1\n", "keys\t\t1\n", "raging\t\t1\n", "wreathed\t\t1\n", "discharges\t\t1\n", "AIR\t\t1\n", "160\t\t1\n", "wavers\t\t1\n", "GLINTING\t\t1\n", "OBSCENE\t\t1\n", "FORM\t\t1\n", "MOVING\t\t1\n", "absolute\t\t1\n", "of.the\t\t1\n", "jamming\t\t1\n", "GRATING\t\t1\n", "FEROCIOUS\t\t1\n", "deadly\t\t1\n", "flows\t\t1\n", "trapped\t\t1\n", "reloads\t\t1\n", "Bracing\t\t1\n", "cherry-hot\t\t1\n", "bends\t\t1\n", "safely\t\t1\n", "draws\t\t1\n", "PISTOL\t\t1\n", "DOWN\t\t1\n", "SHAFT\t\t1\n", "rapidity\t\t1\n", "Rolls\t\t1\n", "lands\t\t1\n", "TAIL-STINGER\t\t1\n", "buries\t\t1\n", "emptying\t\t1\n", "white-hot\t\t1\n", "escape\t\t1\n", "Too\t\t1\n", "conscious\t\t1\n", "asshole\t\t1\n", "deathly\t\t1\n", "recognize\t\t1\n", "shared\t\t1\n", "chosen\t\t1\n", "RUSHING\t\t1\n", "tilt\t\t1\n", "BLAST\t\t1\n", "•breaks\t\t1\n", "diving\t\t1\n", "dodging\t\t1\n", "obstacles\t\t1\n", "housing\t\t1\n", "_There\t\t1\n", "shortcut\t\t1\n", "roof\t\t1\n", "junction\t\t1\n", "hood\t\t1\n", "actually\t\t1\n", "vaned\t\t1\n", "steady\t\t1\n", "rotates\t\t1\n", "weight\t\t1\n", "slipping\t\t1\n", "nightmarishly\t\t1\n", "angling\t\t1\n", "45°\t\t1\n", "Riiiipppleee\t\t1\n", "strains\t\t1\n", "groping\t\t1\n", "sleeve\t\t1\n", "SHE\t\t1\n", "SLIPS\t\t1\n", "plummets\t\t1\n", "disappearing\t\t1\n", "bend\t\t1\n", "Echoey\t\t1\n", "distorted\t\t1\n", "Mooorn\t\t1\n", "l\\eee\t\t1\n", "jP.rks\t\t1\n", "blackness\t\t1\n", "CORRIDOR/STAIRWELL\t\t1\n", "Kicking\t\t1\n", "ventilator\t\t1\n", "·the\t\t1\n", "grottolike\t\t1\n", "filled\t\t1\n", "flooded\t\t1\n", "streaming\t\t1\n", "voices\t\t1\n", "162\t\t1\n", "163\t\t1\n", "Halfway\t\t1\n", "tear-streaked\t\t1\n", "wriggle\t\t1\n", "grate\t\t1\n", "fingertips\t\t1\n", "Climb\t\t1\n", "climbing\t\t1\n", "pipe\t\t1\n", "165\t\t1\n", "blindingly\t\t1\n", "Silently\t\t1\n", "graceful\t\t1\n", "dwarfing\t\t1\n", "form\t\t1\n", "panics\t\t1\n", "reflects\t\t1\n", "placidly\t\t1\n", "Bobbing\t\t1\n", "sinks\t\t1\n", "distorting\t\t1\n", "vanishing\t\t1\n", "furiously\t\t1\n", "tear\t\t1\n", "Nooooo\t\t1\n", "la~tice\t\t1\n", "Hysterical\t\t1\n", "Gets\t\t1\n", "THEY\t\t1\n", "feature\t\t1\n", "HISSES\t\t1\n", "POINT-BLANK\t\t1\n", "sluices\t\t1\n", "Hick\t\t1\n", "clasps\t\t1\n", "Galvanized\t\t1\n", "contacts\t\t1\n", "shucks\t\t1\n", "madman\t\t1\n", "acrid\t\t1\n", "fumes\t\t1\n", "fill\t\t1\n", "COLONY/NORTH\t\t1\n", "supports\t\t1\n", "doubled\t\t1\n", "Almost\t\t1\n", "166-A\t\t1\n", "FIELD/UP-LINK\t\t1\n", "BASE\t\t1\n", "167\t\t1\n", "gusts\t\t1\n", "guiding\t\t1\n", "Stops\t\t1\n", "support\t\t1\n", "buffeted\t\t1\n", "gale\t\t1\n", "HOW\t\t1\n", "MUCH\t\t1\n", "TIME\t\t1\n", "OKAY\t\t1\n", "TWENTY-SIX\t\t1\n", "MINUTES\t\t1\n", "NOT\t\t1\n", "LEAVING\t\t1\n", "deploys\t\t1\n", "PROCESSING\t\t1\n", "infernal\t\t1\n", "zaps\t\t1\n", "superstructure\t\t1\n", "columns\t\t1\n", "incandescent\t\t1\n", "hundreds\t\t1\n", "APPROACH\t\t1\n", "pivots\t\t1\n", "NARROW\t\t1\n", "168\t\t1\n", "finishes\t\t1\n", "winding\t\t1\n", "tape\t\t1\n", "snatching\t\t1\n", "belts\t\t1\n", "fully\t\t1\n", "stocked\t\t1\n", "sprawled\t\t1\n", "contents\t\t1\n", "KIT\t\t1\n", "contorted\t\t1\n", "pain.·\t\t1\n", "BISHOF\t\t1\n", "nineteen\t\t1\n", "olace\t\t1\n", "vapor\t\t1\n", "Nebraska\t\t1\n", "stuffing\t\t1\n", "grimacing\t\t1\n", "hybrid\t\t1\n", ".The\t\t1\n", "Wind\t\t1\n", "wad\t\t1\n", "gauze\t\t1\n", "plastered\t\t1\n", "albeit\t\t1\n", "Mutual\t\t1\n", "respect\t\t1\n", "valley\t\t1\n", "dons\t\t1\n", "T-shirt\t\t1\n", "determination\t\t1\n", "gut-panic\t\t1\n", "170\t\t1\n", "Attaches\t\t1\n", "BANDOLIER\t\t1\n", "GRENADES\t\t1\n", "Primes\t\t1\n", "FLARES\t\t1\n", "pockets\t\t1\n", "jump\t\t1\n", "pants\t\t1\n", "hyperventilate\t\t1\n", "bump\t\t1\n", "retracts\t\t1\n", "Slowly\t\t1\n", "expectantly\t\t1\n", "ruddy\t\t1\n", "Dantean\t\t1\n", "Hell\t\t1\n", "beating\t\t1\n", "pounding\t\t1\n", "171\t\t1\n", "knuckles\t\t1\n", "somewhere\t\t1\n", "catacomb\t\t1\n", "darting\t\t1\n", "taped\t\t1\n", "mechanical\t\t1\n", "Attention\t\t1\n", "evacuate\t\t1\n", "immediately\t\t1\n", "alpha-numics\t\t1\n", "intersecting\t\t1\n", "Flashing\t\t1\n", "fresco\t\t1\n", "strengthens\t\t1\n", "passage\t\t1\n", "quickly\t\t1\n", "FIFTEEN\t\t1\n", "MINUTE\t\t1\n", "FLARE\t\t1\n", "inching\t\t1\n", "fissure\t\t1\n", "SUDDENLY\t\t1\n", "SHOOTS\t\t1\n", "GRABBING\t\t1\n", "recovers\t\t1\n", "recognizes\t\t1\n", "Gooood\t\t1\n", "deserves\t\t1\n", "popping\t\t1\n", "cap\t\t1\n", "placing\t\t1\n", "priming\t\t1\n", "thirteen\t\t1\n", "CONCUSSION\t\t1\n", "earthquake\t\t1\n", "jarring\t\t1\n", "shudder\t\t1\n", "Following\t\t1\n", "RANGE\t\t1\n", "INDICATOR\t\t1\n", "READS\t\t1\n", "ZERO\t\t1\n", "disintegrating\t\t1\n", "chaos\t\t1\n", "173\t\t1\n", "pillarlike\t\t1\n", "eyelids\t\t1\n", "flutter\t\t1\n", "surroundings\t\t1\n", "nearest\t\t1\n", "jointed\t\t1\n", "ovoid\t\t1\n", "tensing\t\t1\n", "leap\t\t1\n", "174\t\t1\n", "illuminates\t\t1\n", "Firing\t\t1\n", "hip\t\t1\n", "drills\t\t1\n", "controlled\t\t1\n", "catapult\t\t1\n", "murderous\t\t1\n", "fresh\t\t1\n", "resinous\t\t1\n", "freeing\t\t1\n", ".···\t\t1\n", "hang\t\t1\n", "Hang\t\t1\n", "groggily\t\t1\n", "hooks\t\t1\n", "retrace\t\t1\n", "engulf\t\t1\n", "passageway\t\t1\n", "retreats\t\t1\n", "expanse\t\t1\n", "PIERCING\t\t1\n", "·in\t\t1\n", "insect-Buddha\t\t1\n", "bigger\t\t1\n", "meaner\t\t1\n", "Alien\t\t1\n", "unimaginable\t\t1\n", "folded\t\t1\n", "grotesquely\t\t1\n", "distended\t\t1\n", "egg-filled\t\t1\n", "tubular\t\t1\n", "weblike\t\t1\n", "intestine\t\t1\n", "carelessly\t\t1\n", "recesses\t\t1\n", "rows\t\t1\n", "aim\t\t1\n", "fixedly\t\t1\n", "freeze\t\t1\n", "Mexican\t\t1\n", "stpndoff\t\t1\n", "females\t\t1\n", "fighting\t\t1\n", "young\t\t1\n", "igniting\t\t1\n", "berserk\t\t1\n", "psychotic\t\t1\n", "whistle\t\t1\n", "irenade\t\t1\n", "Pumps\t\t1\n", "punch\t\t1\n", "EXPLODE\t\t1\n", "Eggs\t\t1\n", "tons\t\t1\n", "gelatinous\t\t1\n", "matter\t\t1\n", "pour\t\t1\n", "ramming\t\t1\n", "inferno\t\t1\n", "bandolier\t\t1\n", "primes\t\t1\n", "throws\t\t1\n", "Dashing\t\t1\n", "catacombs\t\t1\n", "explosions\t\t1\n", "j\t\t1\n", "176\t\t1\n", "blindly\t\t1\n", "intensity\t\t1\n", "verging\t\t1\n", "foundations\t\t1\n", "Lashing\t\t1\n", "DETACHES\t\t1\n", "SAC\t\t1\n", "cartilage\t\t1\n", "tissue\t\t1\n", "177\t\t1\n", "8-INT\t\t1\n", "CATACOMBS\t\t1\n", "-CORRIDOR\t\t1\n", "178-\t\t1\n", "179\t\t1\n", "lO\t\t1\n", "indistinct\t\t1\n", "freight\t\t1\n", "elevators\t\t1\n", "demolished\t\t1\n", "descended\t\t1\n", "MOTOR\t\t1\n", "ENRAGED\t\t1\n", "ECHOES\t\t1\n", "cartridge\t\t1\n", "zeroes\t\t1\n", "FIGURE\t\t1\n", "horrendous\t\t1\n", "screech\t\t1\n", "beats\t\t1\n", "ears\t\t1\n", "She·\t\t1\n", "180\t\t1\n", "BLACK\t\t1\n", "ARM\t\t1\n", "razor\t\t1\n", "horrifying\t\t1\n", "titanic\t\t1\n", "181\t\t1\n", "throes\t\t1\n", "82-\t\t1\n", "-ELEVATORS\t\t1\n", "182-\t\t1\n", "183\t\t1\n", "freezes\t\t1\n", "184\t\t1\n", "stumbles\t\t1\n", "stairs\t\t1\n", "latticework\t\t1\n", "ominously\t\t1\n", "wind-whipped\t\t1\n", "IS\t\t1\n", "hatred\t\t1\n", "outrage\t\t1\n", "sky\t\t1\n", "185\t\t1\n", "ponderously\t\t1\n", "view\t\t1\n", "railing\t\t1\n", "EXPLOSIONS\t\t1\n", "fireballs\t\t1\n", "bucks\t\t1\n", "Nearby\t\t1\n", "THUNDEROUS\t\t1\n", "RENDING\t\t1\n", "parts\t\t1\n", "Close\t\t1\n", "A.glimpse\t\t1\n", "apparition\t\t1\n", "RISES\t\t1\n", "boom\t\t1\n", "EXPLOSION\t\t1\n", "RIPS\t\t1\n", "extended\t\t1\n", "foul\t\t1\n", "36-\t\t1\n", "wrestles\t\t1\n", "cradling\t\t1\n", "Begins\t\t1\n", "Punch\t\t1\n", "vaults\t\t1\n", "STRATOSPHERE\t\t1\n", "Below\t\t1\n", "SUN\t\t1\n", "HOT\t\t1\n", "DOME\t\t1\n", "ENERGY\t\t1\n", "whiting\t\t1\n", "tossed\t\t1\n", "functioning\t\t1\n", "blinding\t\t1\n", "fade\t\t1\n", "truly\t\t1\n", "strokes\t\t1\n", "188\t\t1\n", "189\t\t1\n", "190\t\t1\n", "its.drop\t\t1\n", "vents\t\t1\n", "Rotating\t\t1\n", "comatose\t\t1\n", "stretcher\t\t1\n", "picking\t\t1\n", "precedes\t\t1\n", "scare\t\t1\n", "unstable\t\t1\n", "stopping\t\t1\n", "innocuous\t\t1\n", "shoe\t\t1\n", "SSSSSS\t\t1\n", "BURSTS\t\t1\n", "CHEST\t\t1\n", "milklike\t\t1\n", "razor-sharp\t\t1\n", "scorpion\t\t1\n", "TAIL\t\t1\n", "Driven\t\t1\n", "protruding\t\t1\n", "Above\t\t1\n", "landing-leg\t\t1\n", "blends\t\t1\n", "perfectly\t\t1\n", "Seizing\t\t1\n", "shredded\t\t1\n", "shiny\t\t1\n", "fried\t\t1\n", "pissed\t\t1\n", "unfolding\t\t1\n", "geometries\t\t1\n", "slowness\t\t1\n", "hypnotized\t\t1\n", "decoying\t\t1\n", ",4\t\t1\n", "l5\t\t1\n", ",6\t\t1\n", "WHIRRS\t\t1\n", "BOOM\t\t1\n", "unrecognizable\t\t1\n", "193\t\t1\n", "VARIOUS\t\t1\n", "VERY\t\t1\n", "stirruplike\t\t1\n", "Velcro\t\t1\n", "straps\t\t1\n", "Fingers\t\t1\n", "stabbing\t\t1\n", "sequence\t\t1\n", "grip-control\t\t1\n", "HUM\t\t1\n", "attention\t\t1\n", "trenchlike\t\t1\n", "channels\t\t1\n", "cross\t\t1\n", "CHANNEL\t\t1\n", "scurries\t\t1\n", "rabbit\t\t1\n", "194\t\t1\n", "195\t\t1\n", "WEARING\t\t1\n", "TONS\t\t1\n", "HARDENED\t\t1\n", "LOADER\t\t1\n", "medieval\t\t1\n", "bulldozer\t\t1\n", "CRASH-CLANGS\t\t1\n", "advancing\t\t1\n", "pure\t\t1\n", "lethality\t\t1\n", "WALLOP\t\t1\n", "roundhouse\t\t1\n", "skull\t\t1\n", "rebounds\t\t1\n", "backhand\t\t1\n", "unbelievable\t\t1\n", "joined\t\t1\n", "J7\t\t1\n", "Claws\t\t1\n", "swipe\t\t1\n", "parries\t\t1\n", "radical\t\t1\n", "swipes\t\t1\n", "whirling\t\t1\n", "demolishing\t\t1\n", "embrace\t\t1\n", "crushing\t\t1\n", "writhes\t\t1\n", "exposed\t\t1\n", "hind\t\t1\n", "rip\t\t1\n", "agc\t\t1\n", "inst\t\t1\n", "denting\t\t1\n", "extend\t\t1\n", "meter\t\t1\n", "maw\t\t1\n", "crash-bars\t\t1\n", "cushion\t\t1\n", "drool\t\t1\n", "Yellow\t\t1\n", "foams\t\t1\n", "high-pressure\t\t1\n", "hoses\t\t1\n", "Purple\t\t1\n", "fluid\t\t1\n", "sprays\t\t1\n", "rnachine\t\t1\n", "mixing\t\t1\n", "topple\t\t1\n", "balance\t\t1\n", "pins\t\t1\n", "power-loader\t\t1\n", "CUTTING\t\t1\n", "RECTANGULAR\t\t1\n", "PIT\t\t1\n", "five\t\t1\n", "pinned\t\t1\n", "actuating\t\t1\n", "INNER\t\t1\n", "locking-key\t\t1\n", "OUTER\t\t1\n", "infinite\t\t1\n", "197\t\t1\n", "·oeen\t\t1\n", "parrying\t\t1\n", "buffeting\t\t1\n", "unstrap\t\t1\n", "198\t\t1\n", "airstrearn\t\t1\n", "sucks\t\t1\n", "virtually\t\t1\n", "stanchion\t\t1\n", "dangles\t\t1\n", "doll-like\t\t1\n", "airblast\t\t1\n", "104\t\t1\n", "DOCK\t\t1\n", "199\t\t1\n", "sockets\t\t1\n", "yawning\t\t1\n", "tumbles\t\t1\n", "hi-tops\t\t1\n", "fades\t\t1\n", "turbulent\t\t1\n", "eddies\t\t1\n", "Weakly\t\t1\n", "Encrusted\t\t1\n", "vanilla\t\t1\n", "milkshake\t\t1\n", "Q\t\t1\n", "strand\t\t1\n", "Except\t\t1\n", "SHOT\t\t1\n", "FREEZE\t\t1\n", "END\t\t1\n" ] } ] }, { "cell_type": "code", "source": [ "import nltk\n", "import pandas as pd\n", "from nltk.tokenize import word_tokenize\n", "from nltk.probability import FreqDist\n", "\n", "# Read the text file\n", "file_path = '/content/drive/MyDrive/Colab Notebooks/pdf2txt/aliens-1986.txt'\n", "with open(file_path, 'r', encoding='utf-8') as file:\n", " text = file.read()\n", "\n", "# Tokenize the text into words\n", "tokens = word_tokenize(text)\n", "\n", "# Calculate the frequency distribution of words\n", "fdist = FreqDist(tokens)\n", "\n", "# Create a DataFrame from the frequency distribution\n", "data = {'Word': [], 'Frequency': []}\n", "for word, frequency in fdist.most_common():\n", " data['Word'].append(word)\n", " data['Frequency'].append(frequency)\n", "df = pd.DataFrame(data)\n", "\n", "# Display the DataFrame\n", "print(df)\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HxkvNED_EbCP", "outputId": "4aafdf89-fa69-472c-9302-9ee596447ade" }, "execution_count": 15, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Word Frequency\n", "0 . 2752\n", "1 the 1242\n", "2 , 1237\n", "3 a 535\n", "4 and 447\n", "... ... ...\n", "5420 strand 1\n", "5421 Except 1\n", "5422 SHOT 1\n", "5423 FREEZE 1\n", "5424 END 1\n", "\n", "[5425 rows x 2 columns]\n" ] } ] }, { "cell_type": "code", "source": [ "import nltk\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from nltk.tokenize import word_tokenize\n", "from nltk.probability import FreqDist\n", "\n", "# Read the text file\n", "file_path = '/content/drive/MyDrive/Colab Notebooks/pdf2txt/aliens-1986.txt'\n", "with open(file_path, 'r', encoding='utf-8') as file:\n", " text = file.read()\n", "\n", "# Tokenize the text into words\n", "tokens = word_tokenize(text)\n", "\n", "# Calculate the frequency distribution of words\n", "fdist = FreqDist(tokens)\n", "\n", "# Create a DataFrame from the frequency distribution\n", "data = {'Word': [], 'Frequency': []}\n", "for word, frequency in fdist.most_common():\n", " data['Word'].append(word)\n", " data['Frequency'].append(frequency)\n", "df = pd.DataFrame(data)\n", "\n", "# Plot the word frequencies\n", "plt.figure(figsize=(10, 6))\n", "plt.plot(df['Word'], df['Frequency'])\n", "plt.xlabel('Word')\n", "plt.ylabel('Frequency')\n", "plt.title('Word Frequency Distribution')\n", "plt.xticks(rotation=90)\n", "plt.tight_layout()\n", "plt.show()\n", "\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 607 }, "id": "a6-kLPcSaVfg", "outputId": "e2a3a9bd-5f2a-42d9-dd81-ed32de17079f" }, "execution_count": 17, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" 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