Adapting a general parser to a sublanguage

In this paper, we propose a method to adapt a general parser (Link Parser) to sublanguages, focusing on the parsing of texts in biology. Our main proposal is the use of terminology (identification and analysis of terms) in order to reduce the complexity of the text to be parsed. Several other strategies are explored and finally combined among which text normalization, lexicon and morpho-guessing module extensions and grammar rules adaptation. We compare the parsing results before and after these adaptations.

• Type: Journal
• Year: 2006
• Where: CORR
• Authors: Sophie Aubin, Adeline Nazarenko, Claire Nedellec
• Keywords: CORR 2006, Education, General Parser, Main Proposal, Text Normalization