Abstract
The paper presents a method for automatic detection of “non-trivial” word combinations in the text. It is based on automatic syntactic analysis. The method shows better precision and recall than the baseline method (bigrams). It was tested on a text in Spanish. The method can be used for enrichment of very large dictionaries of word combinations.
Work done under partial support of Mexican Government (CONACyT, SNI), IPN (CGPI, COFAA, PIFI), Korean Government (KIPA Professorship for Visiting Faculty Positions in Korea), and ITRI of Chung-Ang University. First author is currently on Sabbatical leave at Chung-Ang University. We thank Prof. I. A. Bolshakov for useful discussion.
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Gelbukh, A., Sidorov, G., Han, SY., Hernández-Rubio, E. (2004). Automatic Syntactic Analysis for Detection of Word Combinations. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2004. Lecture Notes in Computer Science, vol 2945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24630-5_29
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DOI: https://doi.org/10.1007/978-3-540-24630-5_29
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