Using Google Translation in Cross-Lingual Information Retrieval *
Xiaoning He, Peidong Wang, Haoliang Qi, Muyun Yang, Guohua Lei, Yong Xue · 2008
HIT2 Lab participated in NTCIR 7 IR4QA task. In this task many topics consist of name entities, so Google translation was used to translate query terms because of its high performance on name entity translation. We use KL-divergence model to perform retrieval and Chinese character bigram as our indexing unit. Pseudo feedback was used trying to improve average precision. We achieved competitive results in the task.