PATENT CLAIM ANALYSIS

Application Number: 15900166
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["704", "009000"]

Abstract:
The present disclosure discloses a method and apparatus for generating a parallel text in the same language. The method comprises: acquiring a source segmented word sequence and a pre-trained word vector table; determining a source word vector sequence corresponding to the source segmented word sequence, according to the word vector table; importing the source word vector sequence into a first pre-trained recurrent neural network model, to generate an intermediate vector of a preset dimension for characterizing semantics of the source segmented word sequence; importing the intermediate vector into a second pre-trained recurrent neural network model, to generate a target word vector sequence corresponding to the intermediate vector; and determining a target segmented word sequence corresponding to the target word vector sequence according to the word vector table, and determining the target segmented word sequence as a parallel text in the same language corresponding to the source segmented word sequence.

Claim (Index 3):
The method according to  claim 2 , wherein after the determining the target segmented word sequence as a parallel text in the same language corresponding to the source segmented word sequence, the method further comprises:\n searching according to the parallel text in the same language, to obtain a search result; and sending the search result to the terminal.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 3.13725
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15900176', '15426727', '14995042', '15407713', '15458887']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2952089019595035
- 35 USC 102 Novelty (BERT): 0.5077359847194549
- Combined Prediction Score: 0.3164616102354987
- Mean Citation Score: 238.38446000000005
- Max Citation Score: 255.3363
- Similarity Product: 163.00703339404464

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

Dataset: test