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(50) Automatic Building of a Machine Translation Bilingual Dictionary Using Recursive Chain-Link-Type Learning
¡¡¡¡¡¡>: Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, Heidelberg, New York VOL..2972 pp.410-419 ,2004-5
Numerous methods have been developed for generating a machine translation (MT) bilingual dictionary from a parallel text
corpus. Such methods extract bilingual collocations from sentence pairs of source and target language sentences. Then
those collocations are registered in an MT bilingual dictionary. Bilingual collocations are lexically corresponding pairs
of parts extracted from sentence pairs. This paper describes a new method for automatic extraction of bilingual
collocations from a parallel text corpus using no linguistic knowledge. We use Recursive Chain-link-type Learning (RCL),
which is a learning algorithm, to extract bilingual collocations. Our method offers two main advantages. One benefit is
that this RCL system requires no linguistic knowledge. The other advantage is that it can extract many bilingual
collocations, even if the frequency of appearance of the bilingual collocations is very low. Experimental results verify
that our system extracts bilingual collocations efficiently. The extraction rate of bilingual collocations was 74.9% for
all bilingual collocations that corresponded to nouns in the parallel corpus.
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