Abstract
In this paper, we describe the system and approach used by the Institute for Infocomm Research (I2R) for the IWSLT 2008 spoken language translation evaluation campaign. In the system, we integrate various decoding algorithms into a multi-pass translation framework. The multi-pass approach enables us to utilize various decoding algorithm and to explore much more hypotheses. This paper reports our design philosophy, overall architecture, each individual system and various system combination methods that we have explored. The performance on development and test sets are reported in detail in the paper. The system has shown competitive performance with respect to the BLEU and METEOR measures in Chinese-English Challenge and BTEC tasks.- Anthology ID:
- 2008.iwslt-evaluation.6
- Volume:
- Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign
- Month:
- October 20-21
- Year:
- 2008
- Address:
- Waikiki, Hawaii
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Note:
- Pages:
- 46–51
- Language:
- URL:
- https://aclanthology.org/2008.iwslt-evaluation.6
- DOI:
- Cite (ACL):
- Boxing Chen, Deyi Xiong, Min Zhang, Aiti Aw, and Haizhou Li. 2008. I2R multi-pass machine translation system for IWSLT 2008.. In Proceedings of the 5th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 46–51, Waikiki, Hawaii.
- Cite (Informal):
- I2R multi-pass machine translation system for IWSLT 2008. (Chen et al., IWSLT 2008)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2008.iwslt-evaluation.6.pdf