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 14):
The computer implemented method of  claim 13  wherein classifying each token comprises:\n classifying each token based on the at least one other token in the sequence of tokens using a bi-directional recurrent neural network (BRNN) classifier.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 2.16327
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13189738', '13818869', '15621452', '13813463', '12052555']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2778428837289569
- 35 USC 102 Novelty (BERT): 0.4932269835222787
- Combined Prediction Score: 0.299381293708289
- Mean Citation Score: 176.26373599999997
- Max Citation Score: 183.47897
- Similarity Product: 116.04051714411794

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