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The CMU statistical machine translation system for IWSLT 2005

Hewavitharana, S.; Zhao, B.; Eck, M.; Hori, C.; Vogel, S.; Waibel, A.

Abstract:

In this paper we describe the CMU statistical machine
translation system used in the IWSLT 2005 evaluation
campaign. This system is based on phrase-to-phrase
translations extracted from a bilingual corpus. We ex-
perimented with two different phrase extraction methods;
PESA on-the-fly phrase extraction and alignment free ex-
traction method. The translation model, language model
and other features were combined in a log-linear model
during decoding. We present our experiments on model
adaptation for new data in a different domain, as well as
combining different translation hypotheses to obtain bet-
ter translations.
We participated in the supplied data track for man-
ual transcriptions in the translation directions: Arabic-
English, Chinese-English, Japanese-English and Korean-
English. For Chinese-English direction we also worked
on ASR output of the supplied data, and with additional
data in unrestricted and C-STAR tracks.


Verlagsausgabe §
DOI: 10.5445/IR/1000009614
Veröffentlicht am 24.06.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Institut für Theoretische Informatik (ITI)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2005
Sprache Englisch
Identifikator KITopen-ID: 1000009614
Erschienen in International Workshop on Spoken Language Translation, IWSLT 2005, October 24-25, 2005, Pittsburgh, PA, USA.
Veranstaltung 2nd International Workshop on Spoken Language Translation (IWSLT 2005), Pittsburgh, PA, USA, 24.10.2005 – 25.10.2005
Verlag Association for Computational Linguistics (ACL)
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