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Extraction of Core Medical Terms Using Frequency Approach

Journal: Teaching Persian to Speakers of Other Languages (Vol.8, No. 17)

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Authors : ;

Page : 227-244

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Abstract

Over the past few decades, with the advancement of technology, the use of corpora in linguistic studies has dramatically increased. Linguistic corpuses provide linguistic experts with the possibility to apply different methods for linguistic analysis by providing large collections. Most of the studies that have been done so far have been in English, French, and Japanese, and limited research has been conducted in Farsi language, and this lack, especially in specialized fields such as medical sciences, mathematics, science, tourism and so on is so tangible. So far most of the term or vocabulary extractions in Farsi have been done by using non-automatic methods and through reading and collecting data by the researchers; however, due to the technical properties of Farsi language, using non-Farsi term extractors which have been quite successful in other languages such as English, French and Japanese, have been impossible to use in Farsi so far. This is because of the particularities and specific features of languages. Each of these extractors is defined based on the features and properties of language they have been used for. In order to improve teaching materials in Farsi, paying attention to this problem was of paramount importance and we decided to apply some of these extraction methods and devise an extraction method for Farsi language which works properly. Since Iran's universities admit a lot of non-native Farsi international students annually whose goal is to study at fields such as medicine, engineering and humanities, preparing standard modern teaching materials in Farsi, which are based on the most modern technologies, is significantly important .The purpose of this study was to improve the resources used in teaching Farsi language at university levels, especially for non -native Farsi speakers and to explore the feasibility of using frequency-based methods in the automatic extraction of core medical terms and comparing the capabilities of each method. Findings of the research reveal the strengths and weaknesses of these methods in Farsi language and explore the possibility of using each of these methods in Farsi and provide technical solutions for the improvement of the results....

Last modified: 2020-06-02 03:48:33