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 1):
A method for augmenting a machine translation engine with preferred translations, comprising:\n receiving indications of content items that are machine translations of source content items, wherein each content item is associated with a user score; identifying, as low scoring content items, the content items that are associated with a user score below a content item threshold; dividing the low scoring content items into multiple n-grams; computing an overall score for one of more n-grams of the multiple n-grams; 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 augmenting the machine translation engine by one or both of:\n including the preferred translations in training data used to generate the machine translation engine; or \n configuring the machine translation engine to, when performing a translation of an item, identify when a preferred translation matches a phrase in the item by matching the source phrases of the preferred translations to phrases in the item, and, when an identified preferred translation matches a phrase in the item, use the translation of the source phrase in that preferred translation instead of results that would otherwise be generated by the machine translation engine.

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): 0.231722287261745
- 35 USC 102 Novelty (BERT): 0.5081411616906967
- Combined Prediction Score: 0.2593641747046402
- Mean Citation Score: 212.629446
- Max Citation Score: 260.83694
- Similarity Product: 183.2989067709505

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