Context Independent Term Mapper for European Languages
Mārcis Pinnis · Recent Advances in Natural Language Processing · 2013
In this paper the author presents a new context independent method for bilingual term mapping using maximised character alignment maps. The method tries to particularly address mapping of multi-word terms and compound terms that are extracted from comparable corpora. The method allows integrating linguistic resources (e.g., probabilistic dictionaries and character based transliteration systems) that significantly increase the mapping recall while maintaining a stable precision. The term mapping method has been automatically evaluated using the EuroVoc thesaurus with varying availability of linguistic resources and on terms extracted from Latvian-English medical domain comparable corpus collected from the Web. The paper shows that the results significantly outperform previously reported results on the same evaluation corpus.