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  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
  • MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
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  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
  • MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
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Unsupervised morphological analysis using tries

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Date

2012

Author

Ak, Koray
Yıldız, Olcay Taner

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Citation

Ak, K. & Yıldız, O. T. (2012). Unsupervised morphological analysis using tries. Paper presented at the Computer and Information Sciences II, 69-75. doi:10.1007/978-1-4471-2155-8_8

Abstract

This article presents an unsupervised morphological analysis algorithm to segment words into roots and affixes. The algorithm relies on word occurrences in a given dataset. Target languages are English, Finnish, and Turkish, but the algorithm can be used to segment any word from any language given the wordlists acquired from a corpus consisting of words and word occurrences. In each iteration, the algorithm divides words with respect to occurrences and constructs a new trie for the remaining affixes. Preliminary experimental results on three languages show that our novel algorithm performs better than most of the previous algorithms.

Source

Computer and Information Sciences II

URI

https://hdl.handle.net/11729/739
http://dx.doi.org/10.1007/978-1-4471-2155-8_8

Collections

  • MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering [111]
  • Scopus İndeksli Bildiri Koleksiyonu [452]
  • WoS İndeksli Bildiri Koleksiyonu [353]



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