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 15):
The language model training apparatus of  claim 11 , further comprising a memory storing instructions, which when executed by the processor, cause the processor to perform the obtaining of the feature vectors based on the target translation vector and the context vector,\n perform the generation of a representative vector representing the target translation vector using the attention mechanism for the feature vectors, and perform the training of the language model based on the target translation vector, the context vector, and the representative vector.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 91.0
- Lexical Diversity: 2.52941
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14992129', '15426727', '15598966', '15474440', '15247490']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2331629177767279
- 35 USC 102 Novelty (BERT): 0.5047157557135987
- Combined Prediction Score: 0.260318201570415
- Mean Citation Score: 219.38801200000003
- Max Citation Score: 246.31604
- Similarity Product: 172.33940461797238

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