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The incremental use of morphological information and lexicalization in data-driven dependency parsing

  • Gülşen Eryiǧit*
  • , Joakim Nivre
  • , Kemal Oflazer
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

6 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıComputer Processing of Oriental Languages - Beyond the Orient
Ana bilgisayar yayını alt yazısıThe Research Challenges Ahead - 21st International Conference, ICCPOL 2006, Proceedings
Sayfalar498-508
Sayfa sayısı11
DOI'lar
Yayın durumuYayınlandı - 2006
Etkinlik21st International Conference on Computer Processing of Oriental Languages: Beyond the Orient: The Research Challenges Ahead, ICCPOL 2006 - Singapore, Singapore
Süre: 17 Ara 200619 Ara 2006

Yayın serisi

AdıLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim4285 LNAI
ISSN (Basılı)0302-9743
ISSN (Elektronik)1611-3349

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???event.eventtypes.event.conference???21st International Conference on Computer Processing of Oriental Languages: Beyond the Orient: The Research Challenges Ahead, ICCPOL 2006
Ülke/BölgeSingapore
ŞehirSingapore
Periyot17/12/0619/12/06

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