Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation

Matīss Rikters

Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation

Matīss Rikters

Datorikas fakultāte (doktorantūra)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

Original language	English
Title of host publication	3rd Workshop on Asian Translation (WAT 2016), December, 11-16, 2016, Osaka, Japan : Proceedings of the Workshop
Pages	1-8
Publication status	Published - 2016

OECD Field of Science

1.2 Computer and Information Sciences

Cite this

@inproceedings{dd03a5454b7d4f33baef38b1285f8d7d,

title = "Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation",

author = "Matīss Rikters",

year = "2016",

language = "English",

isbn = "9784879747136",

pages = "1--8",

booktitle = "3rd Workshop on Asian Translation (WAT 2016), December, 11-16, 2016, Osaka, Japan : Proceedings of the Workshop",

}

TY - GEN

T1 - Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation

AU - Rikters, Matīss

PY - 2016

Y1 - 2016

UR - https://www.researchgate.net/publication/311668397_Neural_Network_Language_Models_for_Candidate_Scoring_in_Hybrid_Multi-System_Machine_Translation

M3 - Conference paper

SN - 9784879747136

SP - 1

EP - 8

BT - 3rd Workshop on Asian Translation (WAT 2016), December, 11-16, 2016, Osaka, Japan : Proceedings of the Workshop

ER -

Neural Network Language Models for Candidate Scoring in Hybrid Multi-System Machine Translation

OECD Field of Science

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