PATENT CLAIM ANALYSIS

Application Number: 15884336
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["704", "002000"]

Abstract:
A method of forming parallel corpora comprises receiving sets of items in first language and second languages, each of the sets having one or more associated descriptions and metadata. The metadata is collected from the two sets of items and are aligned using the metadata. The aligned metadata are mapped from the first language to the second language for each of the sets. The descriptions of two items are fetched and the structural similarity of the descriptions is measured to assess whether two items are likely to be translations of each other. For mapped items with structurally similar descriptions, the mapped item descriptions are formed into respective sentences in first language and in the second language. The sentences are parallel corpora which may be used to translate an item from the first language to the second language, and also to train a machine translation system.

Claim (Index 7):
The method of  claim 6 , wherein measuring the structural similarity of the first HTML code with respect to the second HTML code includes measuring similarity in a first hierarchy of first HTML tags of the first HTML code with respect to a second hierarchy of second HTML tags of the second HTML code.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 86.0
- Lexical Diversity: 2.26471
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14587552', '14079419', '14586862', '15712800', '15171476']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2763599010674477
- 35 USC 102 Novelty (BERT): 0.519574422305142
- Combined Prediction Score: 0.3006813531912171
- Mean Citation Score: 195.205812
- Max Citation Score: 312.73828
- Similarity Product: 211.3597219797396

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

Dataset: test