Evaluating the LIHLA lexical aligner on Spanish, Brazilian Portuguese and Basque parallel texts

1. Caseli, Helena M.
2. Nunes, Maria G. V.
3. Forcada Zubizarreta, Mikel L.

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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

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