PATENT CLAIM ANALYSIS

Application Number: 16032971
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["704", "002000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural machine translation. In one aspect, a system is configured to receive an input sequence of source embeddings representing a source sequence of words in a source natural language and to generate an output sequence of target embeddings representing a target sequence of words that is a translation of the source sequence into a target natural language, the system comprising: a dilated convolutional neural network configured to process the input sequence of source embeddings to generate an encoded representation of the source sequence, and a masked dilated convolutional neural network configured to process the encoded representation of the source sequence to generate the output sequence of target embeddings.

Claim (Index 1):
A neural machine translation system implemented by one or more computers, the neural machine translation system configured to receive an input sequence of source embeddings representing a source sequence of words in a source natural language and to generate an output sequence of target embeddings representing a target sequence of words that is a translation of the source sequence into a target natural language, the neural machine translation system comprising:\n a convolutional encoder neural network configured to process the input sequence of source embeddings to generate an encoded representation of the source sequence; and a masked convolutional decoder neural network configured to process the encoded representation of the source sequence to generate the output sequence of target embeddings.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 95.0
- Lexical Diversity: 2.58824
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15408526', '15684537', '15863612', '15817161', '15901722']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2681411545136584
- 35 USC 102 Novelty (BERT): 0.4929308225885034
- Combined Prediction Score: 0.2906201213211429
- Mean Citation Score: 251.02691600000003
- Max Citation Score: 273.48972000000003
- Similarity Product: 233.92718722754

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

Dataset: test