论文信息 - Bootstrapping Term Extractors for Multiple Languages

Bootstrapping Term Extractors for Multiple Languages

Terminology extraction resources are needed for a wide range of human language technology applications, including knowledge management, information extraction, semantic search, cross-language information retrieval and automatic and assisted translation. We report a low cost method for creating terminology extraction resources for 21 non-English EU languages. Using parallel corpora and a projection method, we create a General POS Tagger for these languages. We also investigate the use of EuroVoc terms and Wikipedia to automatically create a term grammar for each language. Our results show that these automatically generated resources can assist the term extraction process, achieving similar performance to manually generated resources. All POS tagger and term grammar resources resulting from this work are freely available for download.

Ahmet Aker | Robert J. Gaizauskas | Monica Lestari Paramita | Emma Barker

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