PATENT CLAIM ANALYSIS

Application Number: 15911432
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-07
Patent Classification: ["704", "002000"]

Abstract:
A system for translation from a first human language to a second language including one or more processors and one or more non-transitory memory units coupled to said one or more processors storing computer readable program instructions, wherein the computer readable program instructions configure the one or more processors to perform the steps of: receive an input representation of information in the first language, convert the input representation of information in the first language to one or more sets of one or more marked-lemma dependency trees (MDTs), convert said one or more sets of one or more marked-MDTs to a representation of information in said second language, and output said representation of information in said second language, wherein the MDTs are represented in a mathematically-equivalent or isomorphic memory structure using one of word embeddings, sense embeddings, tree kernels, capsules, pose vectors, embeddings, and vectorizations.

Claim (Index 5):
The system of  claim 4 , wherein the mathematical function is one function of neural network functions, random forest functions, and classifier functions.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 90.0
- Lexical Diversity: 2.37313
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15069541', '12692667', '10396322', '15417201', '12606110']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2536678328861447
- 35 USC 102 Novelty (BERT): 0.5454515316948731
- Combined Prediction Score: 0.2828462027670176
- Mean Citation Score: 238.410428
- Max Citation Score: 393.7354
- Similarity Product: 244.02475144715308

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test