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 3):
The neural machine translation system of  claim 2 , wherein the encoded representation is a matrix that includes a respective column of data for each source embedding, and wherein, at each time step in the output sequence, the decoder neural network is configured to take as input the corresponding column of the encoded representation and to generate a target embedding.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 95.0
- Lexical Diversity: 2.58824
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15408526', '15684537', '15863612', '15817161', '15901722']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2910350128817199
- 35 USC 102 Novelty (BERT): 0.5018225956221061
- Combined Prediction Score: 0.3121137711557586
- Mean Citation Score: 251.02691600000003
- Max Citation Score: 273.48972000000003
- Similarity Product: 210.3410280012274

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

Dataset: test