260

This article analyzes the stemming algorithms based on the morphological rules of the dictionary using the key words in the spelling dictionary. In addition, the database structure of glossary dictionaries is reviewed.

  • Read count 244
  • Date of publication 01-01-2019
  • Main LanguageIngliz
  • Pages558
Ўзбек

Ушбу мақолада гап таркибидаги сўзларни ўзак қисмини луғатлар ѐрдамида ва тилининг морфологик қоидалари асосида аниқловчи алгоритмлари таҳлил қилинган. Бундан ташқари ўзакни аниқлаш қўлланилувчи луғатларнинг маълумотлар базаси таркиби кўриб чиқилган.

Русский

 В данной статье анализируются алгоритмы определения на основе морфологических правил словаря с использованием ключевых слов в словаре правописания. Кроме того, пересматривается структура базы данных словарей глоссария

English

This article analyzes the stemming algorithms based on the morphological rules of the dictionary using the key words in the spelling dictionary. In addition, the database structure of glossary dictionaries is reviewed.

№ Author name position Name of organisation
1 Atadjanov J.. Software developer of Uztelecom Uztelecom
№ Name of reference
1 Lovins, Julie Beth (1968). "Development of a Stemming Algorithm". Mechanical Translation and Computational Linguistics. 11: 22–31.
2 Frakes, W. B. (1984); Term Conflation for Information Retrieval, Cambridge University Press
3 Frakes, W. B. & Fox, C. J. (2003); Strength and Similarity of Affix Removal Stemming Algorithms, SIGIR Forum, 37: 26–30
4 Dawson, J. L. (1974); Suffix Removal for Word Conflation, Bulletin of the Association for Literary and Linguistic Computing, 2(3): 33–46
5 M. F. Porter, Snowball: A language for Stemming Algorithms.-2011
6 G. Erigit, E. Adali. An Affix stripping morphological analyzer for Turkish, 2004
7 Carroll, J. (2002). A handbook for deterring plagiarism in higher education. Oxford: The Oxford Centre for Staff and Learning Development, Oxford Brookes University. (96 p.), ISBN 1873576560.
Waiting