Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The development of the NLP algorthims for Uzbek language

The development of the NLP algorthims for Uzbek language

Nazirova, Elmira
Ismailov, Alisher

Paperback

Programming

ISBN10: 6208437555
ISBN13: 9786208437558
Publisher: LAP Lambert Academic Publishing
Published: Mar 28 2025
Pages: 136
Weight: 0.42
Height: 0.32 Width: 6.00 Depth: 9.00
Language: English
Natural Language Processing (NLP) consists of few important parts. For example, one of the first part of the NLP process is a stemming, then next process is morphological analyzses and then syntactic processes will follow. There has been many researches on stemming process. These are few of the most popular stemming algorithms available right now.The Lovins defines a stemming algorithm as a procedure to reduce all words with the same stem to a common form, usually by stripping each word of its derivational and inflectional suffixes. The main objective of the stemming process is to remove all the possible affixes and thus reduce the word to its stem. The contemporary search engines can use stemmed word to make the search broader which means that it can ensure that the greatest number of relevant matches is included in search results. Stemming has also applications in machine translation, document summarisation, and text classification. There are two approaches in stemming algorithm. The first approach is basic stemming which means normally context-free and the main objective is to identify affixes and remove them.

Also in

Programming

View All