PATENT CLAIM ANALYSIS

Application Number: 15928680
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["704", "002000"]

Abstract:
A software input string is received and tokenized into a sequence of tokens. The sequence of tokens is applied to a trained sequence-dependent lock/unlock classifier so that each of the tokens is classified as a token that should be locked, or remain unlocked, for subsequent translation. The software input string is converted to a converted string, in which the locked tokens are identified and the converted string is submitted for machine translation. A machine translation result is received and converted so that the locked tokens are replaced in the machine translation result, to obtain a translated software string.

Claim (Index 19):
A computing system, comprising:\n a training data generation system that compares a source language computer software string to a target language computer software string, that is translated from a source language to a target language, to identify a sequence of tokens in the source language computer software string, and untranslated tokens in the target language computer software string, and that generates labeled training data indicative of the sequence of tokens in the source language computer software string, the target language computer software string and the identified, untranslated tokens; word embedding logic that encodes the labeled training data; a recursive neural network (RNN) classifier training system that trains a recursive neural network classifier to classify tokens in a source language computer software string as locked for translation or unlocked for translation, based on the sequence of tokens in the encoded, labeled training data.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.16327
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13189738', '13818869', '15621452', '13813463', '12052555']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2590654903393434
- 35 USC 102 Novelty (BERT): 0.4684031365361311
- Combined Prediction Score: 0.2799992549590221
- Mean Citation Score: 176.26373599999997
- Max Citation Score: 183.47897
- Similarity Product: 144.3252346914649

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

Dataset: test