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Information Journal Paper

Title

EFFECT OF MORPHOLOGIES ON PERSIAN DEPENDENCY PARSING

Pages

  71-80

Abstract

 Data-driven systems can be adapted to different languages and domains easily. Using this trend in DEPENDENCY PARSING was lead to introduce data-driven approaches. Existence of appreciate corpora that contain sentences and theirs associated dependency trees are the only pre-requirement in data-driven approaches. Despite obtaining high accurate results for DEPENDENCY PARSING task in English language, for many of other languages with high free-word order and rich morphology, most applying algorithms lead to drop in accuracy compared to English language. Therefore, data-driven systems require careful selection of features and tuning of parameters to reach optimal performance.A dependency corpus for Persian language introduced recently. Persian language has high free-word order and rich morphology. In this paper we try to find detect effective factors for decreasing parsing accuracy and we present solutions to improve the accuracy.

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