Improving neural machine translation with sentence alignment learning

Xuewen Shi; Heyan Huang; Ping Jian; Yi-Kun Tang

doi:10.1016/j.neucom.2020.05.104

ScienceGate Book Chapters

JOURNAL ARTICLE

Improving neural machine translation with sentence alignment learning

Xuewen Shi Heyan Huang Ping Jian Yi-Kun Tang

Year: 2020 Journal: Neurocomputing Vol: 420 Pages: 15-26 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.05.104

Get Full-Text PDF Get Analytical Report

Keywords:

Discriminator Computer science Machine translation Sentence Artificial intelligence Natural language processing Example-based machine translation Evaluation of machine translation Translation (biology) Encoder Speech recognition Machine translation software usability

Metrics

Cited By

2.79

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Improving neural machine translation with sentence alignment learning

Metrics

Citation History

Topics

Related Documents

Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning

Improving neural sentence alignment with word translation

Improving Neural Machine Translation with Neural Sentence Rewriting

Explicit Alignment Learning for Neural Machine Translation

Improving Neural Machine Translation by Transferring Knowledge from Syntactic Constituent Alignment Learning