@inproceedings{pipa-etal-2016-racai,
title = "{RACAI} Entry for the {IWSLT} 2016 Shared Task",
author = "Pipa, Sonia and
Vasile, Alin Florentin and
Iona{\textcommabelow{s}}cu, Ioana and
Dumitrescu, Stefan Daniel and
Boros, Tiberiu",
editor = {Cettolo, Mauro and
Niehues, Jan and
St{\"u}ker, Sebastian and
Bentivogli, Luisa and
Cattoni, Rolando and
Federico, Marcello},
booktitle = "Proceedings of the 13th International Conference on Spoken Language Translation",
month = dec # " 8-9",
year = "2016",
address = "Seattle, Washington D.C",
publisher = "International Workshop on Spoken Language Translation",
url = "https://aclanthology.org/2016.iwslt-1.20",
abstract = "Spoken Language Translation is currently a hot topic in the research community. This task is very complex, involving automatic speech recognition, text-normalization and machine translation. We present our speech translation system, which was compared against the other systems participating in the IWSLT 2016 Shared Task. We introduce our ASR system for English and our MT system for English to French (En-Fr) and English to German (En-De) language pairs. Additionally, for the English to French Challenge we introduce a methodology that enables the enhancement of statistical phrase-based translation with translation equivalents deduced from monolingual corpora using neural word embedding.",
}
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<title>Proceedings of the 13th International Conference on Spoken Language Translation</title>
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<abstract>Spoken Language Translation is currently a hot topic in the research community. This task is very complex, involving automatic speech recognition, text-normalization and machine translation. We present our speech translation system, which was compared against the other systems participating in the IWSLT 2016 Shared Task. We introduce our ASR system for English and our MT system for English to French (En-Fr) and English to German (En-De) language pairs. Additionally, for the English to French Challenge we introduce a methodology that enables the enhancement of statistical phrase-based translation with translation equivalents deduced from monolingual corpora using neural word embedding.</abstract>
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%0 Conference Proceedings
%T RACAI Entry for the IWSLT 2016 Shared Task
%A Pipa, Sonia
%A Vasile, Alin Florentin
%A Iona\textcommabelowscu, Ioana
%A Dumitrescu, Stefan Daniel
%A Boros, Tiberiu
%Y Cettolo, Mauro
%Y Niehues, Jan
%Y Stüker, Sebastian
%Y Bentivogli, Luisa
%Y Cattoni, Rolando
%Y Federico, Marcello
%S Proceedings of the 13th International Conference on Spoken Language Translation
%D 2016
%8 dec 8 9
%I International Workshop on Spoken Language Translation
%C Seattle, Washington D.C
%F pipa-etal-2016-racai
%X Spoken Language Translation is currently a hot topic in the research community. This task is very complex, involving automatic speech recognition, text-normalization and machine translation. We present our speech translation system, which was compared against the other systems participating in the IWSLT 2016 Shared Task. We introduce our ASR system for English and our MT system for English to French (En-Fr) and English to German (En-De) language pairs. Additionally, for the English to French Challenge we introduce a methodology that enables the enhancement of statistical phrase-based translation with translation equivalents deduced from monolingual corpora using neural word embedding.
%U https://aclanthology.org/2016.iwslt-1.20
Markdown (Informal)
[RACAI Entry for the IWSLT 2016 Shared Task](https://aclanthology.org/2016.iwslt-1.20) (Pipa et al., IWSLT 2016)
ACL
- Sonia Pipa, Alin Florentin Vasile, Ioana Ionașcu, Stefan Daniel Dumitrescu, and Tiberiu Boros. 2016. RACAI Entry for the IWSLT 2016 Shared Task. In Proceedings of the 13th International Conference on Spoken Language Translation, Seattle, Washington D.C. International Workshop on Spoken Language Translation.