PATENT CLAIM ANALYSIS

Application Number: 15947915
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-05
Patent Classification: ["704", "002000"]

Abstract:
A language model training method and an apparatus using the language model training method are disclosed. The language model training method includes assigning a context vector to a target translation vector, obtaining feature vectors based on the target translation vector and the context vector, generating a representative vector representing the target translation vector using an attention mechanism for the feature vectors, and training a language model based on the target translation vector, the context vector, and the representative vector.

Claim (Index 3):
The method of  claim 2 , wherein the obtaining of the target translation vector comprises:\n obtaining the target translation sentence using speech recognition.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 91.0
- Lexical Diversity: 2.52941
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14992129', '15426727', '15598966', '15474440', '15247490']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2560372134934206
- 35 USC 102 Novelty (BERT): 0.5014455302693117
- Combined Prediction Score: 0.2805780451710097
- Mean Citation Score: 219.38801200000003
- Max Citation Score: 246.31604
- Similarity Product: 186.3957549159336

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