PATENT CLAIM ANALYSIS

Application Number: 15886817
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-01
Patent Classification: ["704", "002000"]

Abstract:
A machine translation system can improve results of machine translations by employing preferred translations, such as human translated phrases. In some implementations, the machine translation system can use the preferred translations as heavily weighted training data when building a machine translation engine. In some implementations, the machine translation system can use the preferred translations as an alternate to a result that would have otherwise been produced by a machine translation engine. While it is infeasible to obtain human translations for all translation phrases, preferred translations can be used for problem phrases for which machine translation engines often produce poor translations. The machine translation system can identify problem phrases by assigning a quality score to each translation in a set of translations. The machine translation system can identify, as the problem phrases, n-grams that appear with a frequency above a frequency threshold in translations with quality scores below a threshold.

Claim (Index 10):
A computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for augmenting a machine translation engine with preferred translations, the operations comprising:\n identifying, as low scoring content items, content items that are associated with a user rating below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for each selected n-gram of the multiple n-grams by one or both of:\n computing a frequency that the selected n-gram appears at least once in each of the low scoring content items; or \n computing a frequency that the selected n-gram appears in the low scoring content items; \n selecting, as low scoring n-grams, at least one of the one or more n-grams that has an overall score below an n-gram score threshold; obtaining preferred translations for each of the selected low scoring n-grams, wherein each preferred translation comprises a source phrase in a first language and a translation of the source phrase in a second language; and generating the machine translation engine using training data that includes the preferred translations, wherein the preferred translations in the training data are weighted more heavily than other items in the training data that are not preferred translations.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.20548
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14967897', '14586022', '12506483', '14980654', '15672690']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2320441303812345
- 35 USC 102 Novelty (BERT): 0.505997459273876
- Combined Prediction Score: 0.2594394632704986
- Mean Citation Score: 212.629446
- Max Citation Score: 260.83694
- Similarity Product: 189.7799146639896

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