Abstract. This paper outlines a strategy to build new bilingual dictionaries from existing resources. The method is based on two main tasks: first, a new set of bilingual correspo...
Information on subcategorization and selectional restrictions is important for natural language processing tasks such as deep parsing, rule-based machine translation and automatic...
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Automating the process of term recognition and classiæcation is important for digital libraries. Automatic Term Recognition घATRङ has many applications in areas related to di...
Katerina T. Frantzi, Sophia Ananiadou, Jun-ichi Ts...
In recent years, statistical approaches on ATR (Automatic Term Recognition) have achieved good results. However, there are scopes to improve the performance in extracting terms st...