On the Automatic Learning of Bilingual Resources: Some Relevant Factors for Machine Translation

摘要

In this paper we present experiments concerned with automatically learning bilingual resources for machine translation: bilingual dictionaries and transfer rules. The experiments were carried out with Brazilian Portuguese (pt), English (en) and Spanish (es) texts in two parallel corpora: pt-en and pt-es. They were designed to investigate the relevance of two factors in the induction process, namely: (1) the coverage of linguistic resources used when preprocessing the training corpora and (2) the maximum length threshold (for transfer rules) used in the induction process. From these experiments, it is possible to conclude that both factors have an influence in the automatic learning of bilingual resources.