Abstract
The paper presents a method of extracting terminology from Polish texts which consists of two steps. The first one identifies candidates for terms, and is supported by linguistic knowledge-a shallow grammar used for extracted phrases is given. The second step is based on statistics, consisting in ranking and filtering candidates for domain terms with the help of a C-value method, and phrases extracted from general Polish texts. The presented approach is sensitive to finding terminology also expressed as subphrases. We applied the method to economics texts, and describe the results of the experiment. The paper closes with an evaluation and a discussion of the results.
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Marciniak, M., Mykowiecka, A. (2013). Terminology Extraction from Domain Texts in Polish. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35647-6_13
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DOI: https://doi.org/10.1007/978-3-642-35647-6_13
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