Title: Effect of the Topic Dependent Translation Models for Patent Translation - Experiment at NTCIR-7
Abstract: In this paper, we investigate the effect of the topic dependent translation model for patent translation. We employ clustering technique to estimate topics in the training corpus and document retrieval to identify the topic fitting to the source sentence. In our experimental evaluation, we investigate the contribution of our topic dependent models to phrase-base Statistical
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot