1 citations · 1 across the 2 of their papers we have counts for
4 papers
Towards User-Driven Neural Machine Translation
Huan Lin, Liang Yao, Baosong Yang +5
A good translation should not only translate the original content semantically, but also incarnate personal traits of the original text. For a real-world neural machine translation…
Exploiting Neural Query Translation into Cross Lingual Information Retrieval
Liang Yao, Baosong Yang, Haibo Zhang +2
As a crucial role in cross-language information retrieval (CLIR), query translation has three main challenges: 1) the adequacy of translation; 2) the lack of in-domain parallel tra…
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval
Tianchi Bi, Liang Yao, Baosong Yang +3
Query translation (QT) is a key component in cross-lingual information retrieval system (CLIR). With the help of deep learning, neural machine translation (NMT) has shown promising…
Query-driven Frequent Co-occurring Term Extraction over Relational Data using MapReduce
Jianxin Li, Chengfei Liu, Liang Yao +2
In this paper we study how to efficiently compute \textit{frequent co-occurring terms} (FCT) in the results of a keyword query in parallel using the popular MapReduce framework. Ta…