Abstract

Bilingual dictionary construction is a time-consuming job; therefore many studies have recently focused on automatically constructing bilingual dictionaries from bilingual texts. In this paper, we propose two novel approaches called dynamic window and tokenizer based on statistical machine transliteration model to efficiently extract English-Chinese transliteration pairs from parallel corpora. Our approaches achieve a significant improvement over previous methods without using resources such as a Chinese segmentor, pronunciation dictionaries; hence these approaches can be readily applied to other language pairs.

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