Abstract
This paper suggests a methodology which is aimed to extract the terminologically relevant collocations for translation purposes. Our basic idea is to use a hybrid method which combines the statistical method and linguistic rules. The extraction system used in our work operated at three steps: (1) Tokenization and POS tagging of the corpus; (2) Extraction of multi-word units using statistical measure; (3) Linguistic filtering to make use of syntactic patterns and stop-word list. As a result, hybrid method using linguistic filters proved to be a suitable method for selecting terminological collocations, it has considerably improved the precision of the extraction which is much higher than that of purely statistical method. In our test, hybrid method combining “Log-likelihood ratio” and “linguistic rules” had the best performance in the extraction. We believe that terminological collocations and phrases extracted in this way, could be used effectively either to supplement existing terminological collections or to be used in addition to traditional reference works.
This work has been supported by The National Basic Research Program of China(973 program, No. 2004CB318102) and the 863 program (No. 2001AA114210, 2002AA117010).
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Kang, BK., Chang, BB., Chen, YR., Yu, SW. (2005). Extracting Terminologically Relevant Collocations in the Translation of Chinese Monograph. In: Dale, R., Wong, KF., Su, J., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2005. IJCNLP 2005. Lecture Notes in Computer Science(), vol 3651. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11562214_88
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DOI: https://doi.org/10.1007/11562214_88
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