PATENT CLAIM ANALYSIS

Application Number: 15962628
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-12
Patent Classification: ["704", "002000"]

Abstract:
A processing method includes acquiring first parallel text data which is a pair of a first text described in a first language and a first translation of the first text into a second language; evaluating whether the first parallel text data has a possibility of mistranslation on the basis of words included in the first text and the first translation; and outputting information based on the evaluation result. It is evaluated whether the first parallel text data has a possibility of mistranslation on the basis of results of (1) a first determination as to whether the first text includes either or both of a word with a first meaning and an antonym of the word and (2) a second determination as to whether the first translation includes either or both of a translation word with the first meaning and an antonym of the translation word.

Claim (Index 8):
The processing method according to  claim 7 ,\n wherein the outputting generates the training parallel corpus in such a manner that, on the basis of the evaluation result, the parallel text data having no possibility of mistranslation is employed for the training parallel corpus, and that the parallel text data having the possibility of mistranslation is not employed for the training parallel corpus.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.73214
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15247490', '12621654', '13189738', '15247690', '11431393']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2893804549994471
- 35 USC 102 Novelty (BERT): 0.4898049745582847
- Combined Prediction Score: 0.3094229069553309
- Mean Citation Score: 199.34591
- Max Citation Score: 205.12083
- Similarity Product: 141.91378899914147

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

Dataset: test