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Information Journal Paper

Title

Introducing a Machin-Based Approach for Word Sense Disambiguation: Using Lesk Algorithm and Part of Speech Tagging

Pages

  1177-1194

Abstract

 The present study introduces a machine-based approach for Word Sense Disambiguation (WSD). In Persian, a morphologically complex language, POS tag which lots of Homographs are made, one way for doing WSD is allocating the right Part Of Speech (POS) tags to words prior to WSD. Since the frequency of noun and adjective Homographs in different Persian POS tag text corpuses is high, POS tag disambiguation of such Homographs seems to be necessary for WSD. This paper introduces an approach in which first POS tagging is done, then the output, which is tagged sentences, enters the next step which is POS disambiguation of Persian nouns and adjective Homographs. Then the output of this step enters the final step which is applying the Lesk Algorithm (a kind of unsupervised learning) for WSD. The proposed approach speeds up the WSD procedure by filtering the only relevant glosses (existing in dictionary) and increases the accuracy of the WSD procedure as well.

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  • Cite

    APA: Copy

    ALAYIABOOZAR, ELHAM. (2018). Introducing a Machin-Based Approach for Word Sense Disambiguation: Using Lesk Algorithm and Part of Speech Tagging. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 33(3 ), 1177-1194. SID. https://sid.ir/paper/378297/en

    Vancouver: Copy

    ALAYIABOOZAR ELHAM. Introducing a Machin-Based Approach for Word Sense Disambiguation: Using Lesk Algorithm and Part of Speech Tagging. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2018;33(3 ):1177-1194. Available from: https://sid.ir/paper/378297/en

    IEEE: Copy

    ELHAM ALAYIABOOZAR, “Introducing a Machin-Based Approach for Word Sense Disambiguation: Using Lesk Algorithm and Part of Speech Tagging,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 33, no. 3 , pp. 1177–1194, 2018, [Online]. Available: https://sid.ir/paper/378297/en

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