INTERSPEECH 2004 - ICSLP
Interlingua-based machine translation is an important approach to implement multi-lingual speech-to-speech (S2S) translation. The natural language generation (NLG) is one of the key components in the interlingua-based machine translation systems. This paper introduces our approach to Chinese generation based on the Interchange Format (IF) developed by the C-STAR organization. In our approach, the hybrid method of feature-based deep generation method and template-based method are employed. The deep generator ensures that the generation component possesses the merits of flexibility and domain portability. The template-based generator makes the system more efficient. We also introduce another simplified Chinese generator applied in specific domain. The experimented results show that our approach is effective and practical for the natural language generation in the Interchange-Format (IF) based S2S translation system.
Bibliographic reference. Cao, Wenjie / Zong, Chengqing / Xu, Bo (2004): "Approach to interchange-format based Chinese generation", In INTERSPEECH-2004, 1893-1896.