O‘zMU xabarlari Вестник НУУз ACTA NUUz FILOLOGIYA 1/4/1 2023 - 248 -
УДК: 81.322.2+004.43 Manzura ABJALOVA, Filologiya fanlari doktori (DSc), dotsent E-mail: abjalova.manzura@gmail.com Otabek ISKANDAROV, Toshkent davlat texnika universiteti mustaqil izlanuvchisi fil.f.d., professor Dadaboyev H.A. taqrizi asosida PYTHON DASTURLASH TILIDA TABIIY TILNI QAYTA ISHLASH (NLP) TIZIMLARI Annotatsiya
Globalizatsiya va raqamli axborotlashtirish jarayonida oʻzbek tilining rivojida axborot texnologiyalari oʻta muhim oʻringa
ega. Kompyuter lingvistikasining tabiiy tilni qayta ishlash (Natural Language Processing – NLP) jarayoni va tabiiy tilning
kompyuter tushunadigan til (formal) shakli yaratilishi natijasida tilga oid masalalar (tahrir, tahlil, tarjima, elektron matnni
ovozlashtirish, ogʻzaki nutqni elektron matnga aylantirish, robot bilan muloqot qilish, yirik matnni ixcham matnga aylantirish
kabi) boʻyicha kompyuter dasturlari yaratilmoqda.
Mazkur maqolada Python dasturlash tilidagi paketlardan foydalangan holda tabiiy tilni qayta ishlash
asoslari va tizimlari borasida
soʻz yuritildi.
Kalit soʻzlar: tabiiy tilni qayta ishlash, NLP, NLTK, axborot texnologiyalarining lingvistik dasturlari, lingvistik tizimlar,
NATURAL LANGUAGE PROCESSING (NLP) IN PYTHON PROGRAMMING LANGUAGE Abstract
In the process of globalization and digital information, information technologies play an important role in the development of the
Uzbek language. In the field of computational linguistics as a result of the process of automatic processing of natural language
(Natural Language Processing / NLP) and the creation of a computer-understandable language (formal) form of a natural
language, many computer programs have been developed that are designed to solve linguistic problems such as editing, analysis,
translation, electronic dubbing of text, transformation of oral speech to electronic text, robotic communication), such as
converting large text to minitext, etc.
This article discusses the basics and systems of natural language processing using Python programming language packages.