Unsupervised morphological analysis using tries
Yükleniyor...
Dosyalar
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer London
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Morphology, Unsupervised learning, Word decomposition, Finnish, Morphological analysis, Novel algorithm, Target language, Turkishs, Algorithms, Linguistics, Iterative methods
Kaynak
Computer and Information Sciences II
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
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