Abstract
Electronic technical documents available on the Internet are a powerful source for automatic extraction of term translations and synonyms. This paper presents an association-based approach to extract possible translations and synonyms by iterative candidate generation using a search engine. The plausible candidate pairs can be chosen by calculating their co-occurring statistics. In our experiment to extract Thai-English medical term pairs, four possible alternative associations; namely confidence, support, lift and conviction, are investigated and their performances are compared by ten-fold cross validation. The experimental results show that lift achieves the best performance with 73.1% f-measure with 67% precision and 84.2% recall on translation pair extraction, 68.7% f-measure with 71.5% precision and 67.7% recall on Thai synonym term extraction and 72.8% f-measure with 72.0% precision and 75.1% recall on English synonym term extraction. The precision of our approach in Thai-English translation, Thai synonym and English synonym extraction are 4 times, 3.5 times and 5.5 times higher than baseline precision respectively.
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Viriyayudhakorn, K., Theeramunkong, T., Nattee, C., Supnithi, T., Okumura, M. (2010). Automatic Extraction of Thai-English Term Translations and Synonyms from Medical Web using Iterative Candidate Generation with Association Measures. In: Theeramunkong, T., et al. New Frontiers in Applied Data Mining. PAKDD 2009. Lecture Notes in Computer Science(), vol 5669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14640-4_11
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DOI: https://doi.org/10.1007/978-3-642-14640-4_11
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