The CMU statistical machine translation system for IWSLT 2005 (2003)
| Venue: | IN MT SUMMIT IX |
| Citations: | 2 - 1 self |
BibTeX
@INPROCEEDINGS{Hewavitharana03thecmu,
author = {Sanjika Hewavitharana and Bing Zhao and Almut Silja Hildebrand and Matthias Eck and Chiori Hori and Stephan Vogel and Alex Waibel},
title = {The CMU statistical machine translation system for IWSLT 2005},
booktitle = {IN MT SUMMIT IX},
year = {2003},
pages = {23--27},
publisher = {}
}
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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 experimented with two different phrase extraction methods; PESA on-the-fly phrase extraction and alignment free extraction 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 better translations. We participated in the supplied data track for manual 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.
