@inproceedings{knowles-koehn-2016-neural,
title = "Neural Interactive Translation Prediction",
author = "Knowles, Rebecca and
Koehn, Philipp",
booktitle = "Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track",
month = oct # " 28 - " # nov # " 1",
year = "2016",
address = "Austin, TX, USA",
publisher = "The Association for Machine Translation in the Americas",
url = "https://aclanthology.org/2016.amta-researchers.9",
pages = "107--120",
abstract = "We present an interactive translation prediction method based on neural machine translation. Even with the same translation quality of the underlying machine translation systems, the neural prediction method yields much higher word prediction accuracy (61.6{\%} vs. 43.3{\%}) than the traditional method based on search graphs, mainly due to better recovery from errors. We also develop efficient means to enable practical deployment.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="knowles-koehn-2016-neural">
<titleInfo>
<title>Neural Interactive Translation Prediction</title>
</titleInfo>
<name type="personal">
<namePart type="given">Rebecca</namePart>
<namePart type="family">Knowles</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Philipp</namePart>
<namePart type="family">Koehn</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2016-oct" 28 - "nov" 1"</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Conferences of the Association for Machine Translation in the Americas: MT Researchers’ Track</title>
</titleInfo>
<originInfo>
<publisher>The Association for Machine Translation in the Americas</publisher>
<place>
<placeTerm type="text">Austin, TX, USA</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>We present an interactive translation prediction method based on neural machine translation. Even with the same translation quality of the underlying machine translation systems, the neural prediction method yields much higher word prediction accuracy (61.6% vs. 43.3%) than the traditional method based on search graphs, mainly due to better recovery from errors. We also develop efficient means to enable practical deployment.</abstract>
<identifier type="citekey">knowles-koehn-2016-neural</identifier>
<location>
<url>https://aclanthology.org/2016.amta-researchers.9</url>
</location>
<part>
<date>2016-oct" 28 - "nov" 1"</date>
<extent unit="page">
<start>107</start>
<end>120</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Neural Interactive Translation Prediction
%A Knowles, Rebecca
%A Koehn, Philipp
%S Conferences of the Association for Machine Translation in the Americas: MT Researchers’ Track
%D 2016
%8 oct" 28 "nov" 1"
%I The Association for Machine Translation in the Americas
%C Austin, TX, USA
%F knowles-koehn-2016-neural
%X We present an interactive translation prediction method based on neural machine translation. Even with the same translation quality of the underlying machine translation systems, the neural prediction method yields much higher word prediction accuracy (61.6% vs. 43.3%) than the traditional method based on search graphs, mainly due to better recovery from errors. We also develop efficient means to enable practical deployment.
%U https://aclanthology.org/2016.amta-researchers.9
%P 107-120
Markdown (Informal)
[Neural Interactive Translation Prediction](https://aclanthology.org/2016.amta-researchers.9) (Knowles & Koehn, AMTA 2016)
ACL
- Rebecca Knowles and Philipp Koehn. 2016. Neural Interactive Translation Prediction. In Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, pages 107–120, Austin, TX, USA. The Association for Machine Translation in the Americas.