Article published In: Japanese Term Extraction
Kyo Kageura and Teruo Koyama
[Terminology 6:2] 2000
► pp. 257–286
Statistical and linguistic approaches to automatic term recognition
NTCIR experiments at Matsushita
Published online: 1 October 2001
https://doi.org/10.1075/term.6.2.08fuk
https://doi.org/10.1075/term.6.2.08fuk
In this article we describe our approaches and the results to the Term Recognition (TMREC) task in the first NTCIR Workshop on Research in Japanese Text. Retrieval and Term Recognition, held 30 August-1 September 1999. Our first approach aims to collect words that appear distinctively in documents of the target domain through statistical method. Our second approach aims to collect terms that have a particular inner structure by applying several diagnostic tests using the collocational information in the corpus. Section 1 describes the outline of the term recognition task. Section 2 briefly describes the two approaches, details of which are described in Sections 3 and 4. In Section 6, we offer a short discussion based on the comparison between the candidates.
Keywords: inner structure, innermost argument, collocation, compound, term weight, productivity
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