@inproceedings{huang-etal-2020-simultaneous,
title = "Simultaneous Translation",
author = "Huang, Liang and
Cherry, Colin and
Ma, Mingbo and
Arivazhagan, Naveen and
He, Zhongjun",
editor = "Villavicencio, Aline and
Van Durme, Benjamin",
booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.emnlp-tutorials.6",
doi = "10.18653/v1/2020.emnlp-tutorials.6",
pages = "34--36",
abstract = "Simultaneous translation, which performs translation concurrently with the source speech, is widely useful in many scenarios such as international conferences, negotiations, press releases, legal proceedings, and medicine. This problem has long been considered one of the hardest problems in AI and one of its holy grails. Recently, with rapid improvements in machine translation, speech recognition, and speech synthesis, there has been exciting progress towards simultaneous translation. This tutorial will focus on the design and evaluation of policies for simultaneous translation, to leave attendees with a deep technical understanding of the history, the recent advances, and the remaining challenges in this field.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="huang-etal-2020-simultaneous">
<titleInfo>
<title>Simultaneous Translation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Liang</namePart>
<namePart type="family">Huang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Colin</namePart>
<namePart type="family">Cherry</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mingbo</namePart>
<namePart type="family">Ma</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Naveen</namePart>
<namePart type="family">Arivazhagan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zhongjun</namePart>
<namePart type="family">He</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2020-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts</title>
</titleInfo>
<name type="personal">
<namePart type="given">Aline</namePart>
<namePart type="family">Villavicencio</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Benjamin</namePart>
<namePart type="family">Van Durme</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Online</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Simultaneous translation, which performs translation concurrently with the source speech, is widely useful in many scenarios such as international conferences, negotiations, press releases, legal proceedings, and medicine. This problem has long been considered one of the hardest problems in AI and one of its holy grails. Recently, with rapid improvements in machine translation, speech recognition, and speech synthesis, there has been exciting progress towards simultaneous translation. This tutorial will focus on the design and evaluation of policies for simultaneous translation, to leave attendees with a deep technical understanding of the history, the recent advances, and the remaining challenges in this field.</abstract>
<identifier type="citekey">huang-etal-2020-simultaneous</identifier>
<identifier type="doi">10.18653/v1/2020.emnlp-tutorials.6</identifier>
<location>
<url>https://aclanthology.org/2020.emnlp-tutorials.6</url>
</location>
<part>
<date>2020-11</date>
<extent unit="page">
<start>34</start>
<end>36</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Simultaneous Translation
%A Huang, Liang
%A Cherry, Colin
%A Ma, Mingbo
%A Arivazhagan, Naveen
%A He, Zhongjun
%Y Villavicencio, Aline
%Y Van Durme, Benjamin
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F huang-etal-2020-simultaneous
%X Simultaneous translation, which performs translation concurrently with the source speech, is widely useful in many scenarios such as international conferences, negotiations, press releases, legal proceedings, and medicine. This problem has long been considered one of the hardest problems in AI and one of its holy grails. Recently, with rapid improvements in machine translation, speech recognition, and speech synthesis, there has been exciting progress towards simultaneous translation. This tutorial will focus on the design and evaluation of policies for simultaneous translation, to leave attendees with a deep technical understanding of the history, the recent advances, and the remaining challenges in this field.
%R 10.18653/v1/2020.emnlp-tutorials.6
%U https://aclanthology.org/2020.emnlp-tutorials.6
%U https://doi.org/10.18653/v1/2020.emnlp-tutorials.6
%P 34-36
Markdown (Informal)
[Simultaneous Translation](https://aclanthology.org/2020.emnlp-tutorials.6) (Huang et al., EMNLP 2020)
ACL
- Liang Huang, Colin Cherry, Mingbo Ma, Naveen Arivazhagan, and Zhongjun He. 2020. Simultaneous Translation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, pages 34–36, Online. Association for Computational Linguistics.