Invention Application
- Patent Title: Neural Machine Translation Systems With Rare Word Processing
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Application No.: US16193387Application Date: 2018-11-16
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Publication No.: US20190188268A1Publication Date: 2019-06-20
- Inventor: Quoc V. Le , Minh-Thang Luong , Ilya Sutskever , Oriol Vinyals , Wojciech Zaremba
- Applicant: Google LLC
- Main IPC: G06F17/28
- IPC: G06F17/28 ; G06F17/27 ; G10L15/16 ; G06N3/04 ; G06F7/10 ; G06F7/02 ; G10L15/02

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural translation systems with rare word processing. One of the methods is a method training a neural network translation system to track the source in source sentences of unknown words in target sentences, in a source language and a target language, respectively and includes deriving alignment data from a parallel corpus, the alignment data identifying, in each pair of source and target language sentences in the parallel corpus, aligned source and target words; annotating the sentences in the parallel corpus according to the alignment data and a rare word model to generate a training dataset of paired source and target language sentences; and training a neural network translation model on the training dataset.
Public/Granted literature
- US10936828B2 Neural machine translation systems with rare word processing Public/Granted day:2021-03-02
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