Evaluating the LIHLA lexical aligner on Spanish, Brazilian Portuguese and Basque parallel texts
Helena de Medeiros Caseli, Maria das Graças Volpe Nunes, Mikel L. Forcada · RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) · 2005
Alignment of words and multiword units plays an important role in many natural language processing applications, such as example-based machine translation, transfer rule learning for machine translation, bilingual lexicography, word sense disambiguation, etc. In this paper we describe LIHLA, a lexical aligner which uses bilingual probabilistic lexicons generated by a freely available set of tools (NATools) and language-independent heuristics to find links between single words and multiword units in sentence-aligned parallel texts. The method has achieved a precision of 92.44% and 85.09% and a recall of 91.13% and 64.66% on Brazilian Portuguese--Spanish and Spanish--Basque parallel texts, respectively.