DocumentCode
2815805
Title
Turkish word n-gram analyzing algorithms for a large scale Turkish corpus - TurCo
Author
Çebi, Yalçin ; Dalkiliç, Gökhan
Author_Institution
Dept. of Comput. Eng., Dokuz Eylul Univ., Izmir, Turkey
Volume
2
fYear
2004
fDate
5-7 April 2004
Firstpage
236
Abstract
To calculate some statistical properties of a language, first you need to take some samples of that language. That sample is called a corpus. An unbalanced large scale Turkish text corpus (TurCo) having ∼362 MB capacity and more than 50 million words was prepared by using 12 different resources including Web sites and novels in Turkish language. Different algorithms were tested to obtain the n-gram (1≤n≤5) values. Efficiencies of different algorithms have been examined by applying them onto the each piece of the corpus one by one. Only detailed results of the two algorithms created without using database tables are given, because all the other algorithms need to run more than one day which makes those tests inefficient.
Keywords
dictionaries; linguistics; natural languages; text analysis; Turkish text corpus; language statistical properties; programming language; word n-gram analyzing algorithm; Algorithm design and analysis; Assembly; Books; Computer science; Databases; Error correction; Large-scale systems; Natural languages; Telephony; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
Print_ISBN
0-7695-2108-8
Type
conf
DOI
10.1109/ITCC.2004.1286638
Filename
1286638
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