• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 521
Next 10 →

The NICT Translation System for IWSLT 2012

by Andrew Finch , Ohnmar Htun , Eiichiro Sumita
"... Abstract This paper describes NICT's participation in the IWSLT 2012 evaluation campaign for the TED speech translation RussianEnglish shared-task. Our approach was based on a phrasebased statistical machine translation system that was augmented by using transliteration mining techniques. The ..."
Abstract - Add to MetaCart
Abstract This paper describes NICT's participation in the IWSLT 2012 evaluation campaign for the TED speech translation RussianEnglish shared-task. Our approach was based on a phrasebased statistical machine translation system that was augmented by using transliteration mining techniques

The 2012 KIT and KIT-NAIST English ASR Systems for the IWSLT Evaluation

by Christian Saam, Christian Mohr, Kevin Kilgour, Michael Heck, Matthias Sperber, Keigo Kubo, Sebastian Stüker, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel
"... This paper describes our English Speech-to-Text (STT) systems for the 2012 IWSLT TED ASR track evaluation. The systems consist of 10 subsystems that are combinations of different front-ends, e.g. MVDR based and MFCC based ones, and two different phone sets. The outputs of the subsystems are combined ..."
Abstract - Add to MetaCart
This paper describes our English Speech-to-Text (STT) systems for the 2012 IWSLT TED ASR track evaluation. The systems consist of 10 subsystems that are combinations of different front-ends, e.g. MVDR based and MFCC based ones, and two different phone sets. The outputs of the subsystems

The HIT-LTRC Machine Translation System for IWSLT 2012

by Xiaoning Zhu , Yiming Cui , Conghui Zhu , Tiejun Zhao , Hailong Cao
"... Abstract In this paper, we describe HIT-LTRC's participation in the IWSLT 2012 evaluation campaign. In this year, we took part in the Olympics Task which required the participants to translate Chinese to English with limited data. Our system is based on Moses In the evaluation campaign, we fo ..."
Abstract - Add to MetaCart
Abstract In this paper, we describe HIT-LTRC's participation in the IWSLT 2012 evaluation campaign. In this year, we took part in the Olympics Task which required the participants to translate Chinese to English with limited data. Our system is based on Moses In the evaluation campaign, we

The NAIST Machine Translation System for IWSLT2012

by Graham Neubig, Kevin Duh, Masaya Ogushi, Takamoto Kano, Tetsuo Kiso, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura
"... This paper describes the NAIST statistical machine translation system for the IWSLT2012 Evaluation Campaign. We participated in all TED Talk tasks, for a total of 11 languagepairs. For all tasks, we use the Moses phrase-based decoder and its experiment management system as a common base for building ..."
Abstract - Add to MetaCart
This paper describes the NAIST statistical machine translation system for the IWSLT2012 Evaluation Campaign. We participated in all TED Talk tasks, for a total of 11 languagepairs. For all tasks, we use the Moses phrase-based decoder and its experiment management system as a common base

The kit-naist (contrastive) english asr system for iwslt 2012

by Michael Heck , Keigo Kubo , Matthias Sperber , Sakriani Sakti , Sebastian Stüker , Christian Saam , Kevin Kilgour , Christian Mohr , Graham Neubig , Tomoki Toda , Satoshi Nakamura , Alex Waibel - in Proceedings of the International Workshop on Spoken Language Translation (IWSLT) 2012, Hong Kong
"... Abstract This paper describes the KIT-NAIST (Contrastive) English speech recognition system for the IWSLT 2012 Evaluation Campaign. In particular, we participated in the ASR track of the IWSLT TED task. The system was developed by Karlsruhe Institute of Technology (KIT) and Nara Institute of Scienc ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract This paper describes the KIT-NAIST (Contrastive) English speech recognition system for the IWSLT 2012 Evaluation Campaign. In particular, we participated in the ASR track of the IWSLT TED task. The system was developed by Karlsruhe Institute of Technology (KIT) and Nara Institute

Edinburgh system description for the 2005 IWSLT speech translation evaluation

by Amittai Axelrod, Ra Birch Mayne, Chris Callison-burch, Miles Osborne, David Talbot - In Proc. International Workshop on Spoken Language Translation (IWSLT , 2005
"... Our participation in the IWSLT 2005 speech translation task is our first effort to work on limited domain speech data. We adapted our statistical machine translation system that performed successfully in previous DARPA competitions on open domain text translations. We participated in the supplied co ..."
Abstract - Cited by 124 (0 self) - Add to MetaCart
Our participation in the IWSLT 2005 speech translation task is our first effort to work on limited domain speech data. We adapted our statistical machine translation system that performed successfully in previous DARPA competitions on open domain text translations. We participated in the supplied

The RWTH Aachen Speech Recognition and Machine Translation System for IWSLT 2012

by Stephan Peitz, Saab Mansour, Markus Freitag, Minwei Feng, Matthias Huck, Joern Wuebker, Malte Nuhn, Markus Nußbaum-thom, Hermann Ney
"... In this paper, the automatic speech recognition (ASR) and statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign of ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
In this paper, the automatic speech recognition (ASR) and statistical machine translation (SMT) systems of RWTH Aachen University developed for the evaluation campaign of

UPV Translation System for IWSLT 2009

by Guillem Gasco ́, Joan Andreu Sánchez
"... In this paper, we describe the machine translation system developed at the Polytechnic University of Valencia, which was used in our participation in the International Workshop on Spoken Language Translation (IWSLT) 2009. We have taken part only in the Chinese-English BTEC Task. In the evaluation ca ..."
Abstract - Add to MetaCart
In this paper, we describe the machine translation system developed at the Polytechnic University of Valencia, which was used in our participation in the International Workshop on Spoken Language Translation (IWSLT) 2009. We have taken part only in the Chinese-English BTEC Task. In the evaluation

EBMT System of Kyoto University in OLYMPICS Task at IWSLT 2012

by Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi
"... This paper describes the EBMT system of Kyoto Univer-sity that participated in the OLYMPICS task at IWSLT 2012. When translating very different language pairs such as Chinese-English, it is very important to handle sentences in tree structures to overcome the difference. Many recent studies incorpor ..."
Abstract - Add to MetaCart
This paper describes the EBMT system of Kyoto Univer-sity that participated in the OLYMPICS task at IWSLT 2012. When translating very different language pairs such as Chinese-English, it is very important to handle sentences in tree structures to overcome the difference. Many recent studies

The UEDIN systems for the IWSLT 2012 evaluation

by Eva Hasler, Peter Bell, Arnab Ghoshal, Barry Haddow, Fergus Mcinnes, Steve Renals, Pawel Swietojanski - In IWSLT
"... This paper describes the University of Edinburgh (UEDIN) systems for the IWSLT 2012 Evaluation. We participated in the ASR (English), MT (English-French, German-English) and SLT (English-French) tracks. ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
This paper describes the University of Edinburgh (UEDIN) systems for the IWSLT 2012 Evaluation. We participated in the ASR (English), MT (English-French, German-English) and SLT (English-French) tracks.
Next 10 →
Results 1 - 10 of 521
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University