Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead

Volume 4285 of the series Lecture Notes in Computer Science pp 498-508

The Incremental Use of Morphological Information and Lexicalization in Data-Driven Dependency Parsing

  • Gülşen EryiğitAffiliated withDepartment of Computer Engineering, Istanbul Technical Univ.
  • , Joakim NivreAffiliated withSchool of Mathematics and Systems Engineering, Växjö Univ.
  • , Kemal OflazerAffiliated withFaculty of Engineering and Natural Sciences, Sabancı Univ.

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Typological diversity among the natural languages of the world poses interesting challenges for the models and algorithms used in syntactic parsing. In this paper, we apply a data-driven dependency parser to Turkish, a language characterized by rich morphology and flexible constituent order, and study the effect of employing varying amounts of morpholexical information on parsing performance. The investigations show that accuracy can be improved by using representations based on inflectional groups rather than word forms, confirming earlier studies. In addition, lexicalization and the use of rich morphological features are found to have a positive effect. By combining all these techniques, we obtain the highest reported accuracy for parsing the Turkish Treebank.