@inproceedings{slawik-etal-2014-kit,
title = "The {KIT} translation systems for {IWSLT} 2014",
author = "Slawik, Isabel and
Mediani, Mohammed and
Niehues, Jan and
Zhang, Yuqi and
Cho, Eunah and
Herrmann, Teresa and
Ha, Thanh-Le and
Waibel, Alex",
booktitle = "Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = dec # " 4-5",
year = "2014",
address = "Lake Tahoe, California",
url = "https://aclanthology.org/2014.iwslt-evaluation.17",
pages = "119--126",
abstract = "In this paper, we present the KIT systems participating in the TED translation tasks of the IWSLT 2014 machine translation evaluation. We submitted phrase-based translation systems for all three official directions, namely English→German, German→English, and English→French, as well as for the optional directions English→Chinese and English→Arabic. For the official directions we built systems both for the machine translation as well as the spoken language translation track. This year we improved our systems{'} performance over last year through n-best list rescoring using neural network-based translation and language models and novel preordering rules based on tree information of multiple syntactic levels. Furthermore, we could successfully apply a novel phrase extraction algorithm and transliteration of unknown words for Arabic. We also submitted a contrastive system for German→English built with stemmed German adjectives. For the SLT tracks, we used a monolingual translation system to translate the lowercased ASR hypotheses with all punctuation stripped to truecased, punctuated output as a preprocessing step to our usual translation system.",
}
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<abstract>In this paper, we present the KIT systems participating in the TED translation tasks of the IWSLT 2014 machine translation evaluation. We submitted phrase-based translation systems for all three official directions, namely English→German, German→English, and English→French, as well as for the optional directions English→Chinese and English→Arabic. For the official directions we built systems both for the machine translation as well as the spoken language translation track. This year we improved our systems’ performance over last year through n-best list rescoring using neural network-based translation and language models and novel preordering rules based on tree information of multiple syntactic levels. Furthermore, we could successfully apply a novel phrase extraction algorithm and transliteration of unknown words for Arabic. We also submitted a contrastive system for German→English built with stemmed German adjectives. For the SLT tracks, we used a monolingual translation system to translate the lowercased ASR hypotheses with all punctuation stripped to truecased, punctuated output as a preprocessing step to our usual translation system.</abstract>
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%0 Conference Proceedings
%T The KIT translation systems for IWSLT 2014
%A Slawik, Isabel
%A Mediani, Mohammed
%A Niehues, Jan
%A Zhang, Yuqi
%A Cho, Eunah
%A Herrmann, Teresa
%A Ha, Thanh-Le
%A Waibel, Alex
%S Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2014
%8 dec" 4 5"
%C Lake Tahoe, California
%F slawik-etal-2014-kit
%X In this paper, we present the KIT systems participating in the TED translation tasks of the IWSLT 2014 machine translation evaluation. We submitted phrase-based translation systems for all three official directions, namely English→German, German→English, and English→French, as well as for the optional directions English→Chinese and English→Arabic. For the official directions we built systems both for the machine translation as well as the spoken language translation track. This year we improved our systems’ performance over last year through n-best list rescoring using neural network-based translation and language models and novel preordering rules based on tree information of multiple syntactic levels. Furthermore, we could successfully apply a novel phrase extraction algorithm and transliteration of unknown words for Arabic. We also submitted a contrastive system for German→English built with stemmed German adjectives. For the SLT tracks, we used a monolingual translation system to translate the lowercased ASR hypotheses with all punctuation stripped to truecased, punctuated output as a preprocessing step to our usual translation system.
%U https://aclanthology.org/2014.iwslt-evaluation.17
%P 119-126
Markdown (Informal)
[The KIT translation systems for IWSLT 2014](https://aclanthology.org/2014.iwslt-evaluation.17) (Slawik et al., IWSLT 2014)
ACL
- Isabel Slawik, Mohammed Mediani, Jan Niehues, Yuqi Zhang, Eunah Cho, Teresa Herrmann, Thanh-Le Ha, and Alex Waibel. 2014. The KIT translation systems for IWSLT 2014. In Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 119–126, Lake Tahoe, California.