@inproceedings{finch-etal-2007-nict,
title = "The {NICT}/{ATR} speech translation system for {IWSLT} 2007",
author = "Finch, Andrew and
Denoual, Etienne and
Okuma, Hideo and
Paul, Michael and
Yamamoto, Hirofumi and
Yasuda, Keiji and
Zhang, Ruiqiang and
Sumita, Eiichiro",
booktitle = "Proceedings of the Fourth International Workshop on Spoken Language Translation",
month = oct # " 15-16",
year = "2007",
address = "Trento, Italy",
url = "https://aclanthology.org/2007.iwslt-1.15",
abstract = "This paper describes the NiCT-ATR statistical machine translation (SMT) system used for the IWSLT 2007 evaluation campaign. We participated in three of the four language pair translation tasks (CE, JE, and IE). We used a phrase-based SMT system using log-linear feature models for all tracks. This year we decoded from the ASR n-best lists in the JE track and found a gain in performance. We also applied some new techniques to facilitate the use of out-of-domain external resources by model combination and also by utilizing a huge corpus of n-grams provided by Google Inc.. Using these resources gave mixed results that depended on the technique also the language pair however, in some cases we achieved consistently positive results. The results from model-interpolation in particular were very promising.",
}
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<abstract>This paper describes the NiCT-ATR statistical machine translation (SMT) system used for the IWSLT 2007 evaluation campaign. We participated in three of the four language pair translation tasks (CE, JE, and IE). We used a phrase-based SMT system using log-linear feature models for all tracks. This year we decoded from the ASR n-best lists in the JE track and found a gain in performance. We also applied some new techniques to facilitate the use of out-of-domain external resources by model combination and also by utilizing a huge corpus of n-grams provided by Google Inc.. Using these resources gave mixed results that depended on the technique also the language pair however, in some cases we achieved consistently positive results. The results from model-interpolation in particular were very promising.</abstract>
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%0 Conference Proceedings
%T The NICT/ATR speech translation system for IWSLT 2007
%A Finch, Andrew
%A Denoual, Etienne
%A Okuma, Hideo
%A Paul, Michael
%A Yamamoto, Hirofumi
%A Yasuda, Keiji
%A Zhang, Ruiqiang
%A Sumita, Eiichiro
%S Proceedings of the Fourth International Workshop on Spoken Language Translation
%D 2007
%8 oct 15 16
%C Trento, Italy
%F finch-etal-2007-nict
%X This paper describes the NiCT-ATR statistical machine translation (SMT) system used for the IWSLT 2007 evaluation campaign. We participated in three of the four language pair translation tasks (CE, JE, and IE). We used a phrase-based SMT system using log-linear feature models for all tracks. This year we decoded from the ASR n-best lists in the JE track and found a gain in performance. We also applied some new techniques to facilitate the use of out-of-domain external resources by model combination and also by utilizing a huge corpus of n-grams provided by Google Inc.. Using these resources gave mixed results that depended on the technique also the language pair however, in some cases we achieved consistently positive results. The results from model-interpolation in particular were very promising.
%U https://aclanthology.org/2007.iwslt-1.15
Markdown (Informal)
[The NICT/ATR speech translation system for IWSLT 2007](https://aclanthology.org/2007.iwslt-1.15) (Finch et al., IWSLT 2007)
ACL
- Andrew Finch, Etienne Denoual, Hideo Okuma, Michael Paul, Hirofumi Yamamoto, Keiji Yasuda, Ruiqiang Zhang, and Eiichiro Sumita. 2007. The NICT/ATR speech translation system for IWSLT 2007. In Proceedings of the Fourth International Workshop on Spoken Language Translation, Trento, Italy.