Lexical Selection with a Target Language Monolingual Corpus and an MRD

In this paper, we propose a lexical selection method with three steps: sense disambiguation of source words, sense-to-word mapping, and selection of the most appropriate target language lexical item. The knowledge for each step is extracted from a machine readable dictionary and a target language monolingual corpus. By splitting the process of lexical selection into three steps and extracting the essential knowledge for each step from existing resources, our system can select appropriates word for translation with high extensibility and robustness. 1 Introduction Lexical selection in a transfer-based machine translation system is a process that selects an appropriate target word corresponding to a source word. Like other problems in MT, knowledge acquisition is crucial for lexical selection, so many researches have attempted to extract knowledge from existing resources. Among them, corpus based approaches select a target word using statistic information that is automatically extracte..