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 9):
The method of  claim 1 , wherein at least one of the preferred translations is obtained by providing the source phrase to a human translator and receiving, from the human translator, the translation of the source phrase.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.20548
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14967897', '14586022', '12506483', '14980654', '15672690']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2528187693499804
- 35 USC 102 Novelty (BERT): 0.5150699789643037
- Combined Prediction Score: 0.2790438903114127
- Mean Citation Score: 212.629446
- Max Citation Score: 260.83694
- Similarity Product: 169.2895455075276

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