@inproceedings{ha-etal-2017-effective,
title = "Effective Strategies in Zero-Shot Neural Machine Translation",
author = "Ha, Thanh-Le and
Niehues, Jan and
Waibel, Alexander",
booktitle = "Proceedings of the 14th International Conference on Spoken Language Translation",
month = dec # " 14-15",
year = "2017",
address = "Tokyo, Japan",
publisher = "International Workshop on Spoken Language Translation",
url = "https://aclanthology.org/2017.iwslt-1.15",
pages = "105--112",
abstract = "In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having any parallel corpus. The experiments show that they are effective in terms of both performance and computing resources, especially in multilingual translation of unbalanced data in real zero-resourced condition when they alleviate the language bias problem.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ha-etal-2017-effective">
<titleInfo>
<title>Effective Strategies in Zero-Shot Neural Machine Translation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Thanh-Le</namePart>
<namePart type="family">Ha</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jan</namePart>
<namePart type="family">Niehues</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Alexander</namePart>
<namePart type="family">Waibel</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2017-dec" 14-15"</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 14th International Conference on Spoken Language Translation</title>
</titleInfo>
<originInfo>
<publisher>International Workshop on Spoken Language Translation</publisher>
<place>
<placeTerm type="text">Tokyo, Japan</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having any parallel corpus. The experiments show that they are effective in terms of both performance and computing resources, especially in multilingual translation of unbalanced data in real zero-resourced condition when they alleviate the language bias problem.</abstract>
<identifier type="citekey">ha-etal-2017-effective</identifier>
<location>
<url>https://aclanthology.org/2017.iwslt-1.15</url>
</location>
<part>
<date>2017-dec" 14-15"</date>
<extent unit="page">
<start>105</start>
<end>112</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Effective Strategies in Zero-Shot Neural Machine Translation
%A Ha, Thanh-Le
%A Niehues, Jan
%A Waibel, Alexander
%S Proceedings of the 14th International Conference on Spoken Language Translation
%D 2017
%8 dec" 14 15"
%I International Workshop on Spoken Language Translation
%C Tokyo, Japan
%F ha-etal-2017-effective
%X In this paper, we proposed two strategies which can be applied to a multilingual neural machine translation system in order to better tackle zero-shot scenarios despite not having any parallel corpus. The experiments show that they are effective in terms of both performance and computing resources, especially in multilingual translation of unbalanced data in real zero-resourced condition when they alleviate the language bias problem.
%U https://aclanthology.org/2017.iwslt-1.15
%P 105-112
Markdown (Informal)
[Effective Strategies in Zero-Shot Neural Machine Translation](https://aclanthology.org/2017.iwslt-1.15) (Ha et al., IWSLT 2017)
ACL