The Role Of Setting In Linguistic Modeling

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Тоирова, Г., & Зарипова, А. (2019). The Role Of Setting In Linguistic Modeling. in Library, 19(3), 722–723. извлечено от https://inlibrary.uz/index.php/archive/article/view/30033
Гули Тоирова, Бухарский Государственный Университет
доцент, доктор философских наук
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Аннотация

The turning of language into language of internet and computer technologies is depend on developing, and forming degree of computer linguistics that is continue of its. Especially, for artificial intellect modeling of natural language is considered the main task of computer linguistics. In this article is discussed about importance of corps linguistics and the role of setting in its modeling. It is clarified that setting is linguistic and extra linguistic selection of special tags into texts and its component parts. For setting of each part of speech will be produced forms of special linguistic model.

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background image

International Multilingual Journal of Science and Technology (IMJST)

ISSN: 2528-9810

Vol. 4 Issue 9, September - 2019

www.imjst.org

IMJSTP29120183

722

The Role Of Setting In Linguistic Modeling

Toirova Guli Ibragimovna

- Bukhara State University Department of Uzbek linguistics

associate professor, Doctor of philosophical sciences, Uzbekistan, Tashkent

Zaripova Aziza-

student of the Bukhara State University

(E)- mail: tugulijon@ mail. Ru

Abstract

—The turning of language into

language of internet and computer technologies is
depend on developing, and forming degree of
computer linguistics that is continue of its.
Especially, for artificial intellect modeling of
natural language is considered the main task of
computer linguistics. In this article is discussed
about importance of corps linguistics and the role
of setting in its modeling. It is clarified that setting
is linguistic and extra linguistic selection of
special tags into texts and its component parts.
For setting of each part of speech will be
produced forms of special linguistic model.

Keywords

—Corps, types of setting (linguistic

analyzing),

morphological

setting,

semantic

setting, syntactic setting, anaphoric setting,
prosodic setting, discursive setting, word form,
lemma, and tags.

Introduction .

In State nationwide program is

paying a great attention as main direction to the
communicating of public education schools. [4].
According to this program educational establishments
are provided with techniques of modern computers.
Public

education

schools

and

educational

establishments are connected with Internet and
ZiyoNET completely. Modern people master so much
information that it is not possible to use or treat
information without Information and Communication
Technology (ICT). Year by year in our life it has been
developing

computer

and

Information

and

communication technology. Nowadays the main goal
of educational policy is directed at the learners,
important and necessary for the future developing of
modern education that satisfying demands of society
and government. It is important to draw educators and
leaders

of

schools

and

high

educational

establishments in developing professional skilful and
from the first day in additional pedagogical education.
There is the truth that impossible to refuse, if the
representative of present time unable to use
nowadays technology and unable to use them for their
life, job and handicraft is considered drawback. It is
important to emphasize that, efficient using of
possibilities of modern ICT by educators testifies that
they are skilful specialists.

Methodology

.

Computer

translation,

editing,

analyzing,

electron

dictionaries,

thesaurus

are

evidence of our opinion. Especially, creating e-
dictionaries and forming the culture of using them is
effective way of owning the possibilities of language.
Particularly, the role of creating language corps

according to representing and mastering the
possibilities of language is great. As our president
says : “It has shown necessity of supporting scientific
and creative researches overall , marking as task
creating necessary conditions for them [1], for this
purpose working out and implementing definite
measures by our government [1], according to the
field of every subject doing profound researches,
including linguistics. As the developing of information
–communication system, it is appeared new branches
in the subject

as “Corps linguistics”. B. Mengliyev and

his apprentices have raised the problem of this
subject firstly. [5] Corps is an electron library,
dictionary and linguistic grammar of internet system. It
is a collection of texts as electron form of real
language that is situated in the program of search. It is
created Pushkin author corps and Chekhov author
corps, Shakespeare author corps; national corps of
Russian language, modern American English corps,
Oxford English corps in the World. In Uzbekistan it
has not created the corps of linguistic base yet.
Nowadays though there is an electron library Ziyonet,
but it

doesn’t work in the system of working on the text

automatically and implement searching on the base of
different signs from text. It doesn’t outline to the
program

of

learning

language

and

creating

dictionaries. It is impossible to listen audio listening of
text. There is a system of working on the text
automatically and implement searching on the base of
different signs from the text in authoring and national
corps program which we create. It is possible to find
out the words, phrase, combinations that used less
and to learn the use and the orthography of them and
it gives the chance of directional teaching of education
and the leaner is able to listen to the text. Linguistic
analyzing does the main task for corps. Linguistic
analyzing is linguistic and extra linguistic separating of
special tags into texts and its component parts. Now
there are following types of linguistic analyzing:
morphological,

semantic,

syntactical,

anaphoric,

prosodic, discursive and etc. In some corps it is used
the next component analyzing degrees.

Especially, some little corps is connected on the

base of syntactic analyzing completely. Such kind of
state is usually explained deeply or it has syntactical
structure. For instance, syntactic analyzing likes big
tree. Analyzing of text in hand takes long time. Now it
presents programs in Russian and foreign sites which
is possible to enter straightly and to analyze. They are
divided into independent and websites. The last years
producers’ directing to web attachment deserves
attention. There are some advantages of these


background image

International Multilingual Journal of Science and Technology (IMJST)

ISSN: 2528-9810

Vol. 4 Issue 9, September - 2019

www.imjst.org

IMJSTP29120183

723

systems: at the same time several users are able to
analyze the same document, it doesn’t demand to set
additional programs but browser apart from it, entering
right is limited, can be observed analyzing process.
Word form, lemma and tag belong to morphological
analyzing system. Word form is morphological unit of
chosen text. The first step of analyzing word form is to
lemming or to give the lexeme form of word form. The
most difficult step of settings of inflectional languages
is lemming or lexeme form of word to connect to word
form as tag. Because in inflectional languages
grammar meaning of word form is mixed to root of
word. Differently from inflectional languages lemming
is much easier in agglutinative language. [2, 3]. The
part of without grammar form of word form is equal to
root or basis foundation lemma. In settings lemma is
given inside of following sign :<*>. In all parts of
speech lemming is as following or if it is based

on “the

part of root-basis foundation of word is equal to
lemma” trend, in verb group verb –lemma is given as
the form of II person imperative mood. In the articles
of dictionary they are given as infinitive <to go>. But it
is not suitable for corps, because in text of corps it is
searched not form <to go >, but the form<go>.
According to this verb-lemma is given as following
form:

teach

<read>,

doesn’t be

<be>,

show

<see>

[5, 6]. During the setting it demands to write from 5 till
10 morphological tags (explanations), sometimes
more than them for each word form.

Findings

. In conclusion, linguistic modeling of tags

is

expedient,

because

in

linguistic

modeling

morphological tag turns into conventional abbreviation
form. It is produced forms of special linguistic model
for settings of each part of speech. Setting is linguistic
modeling.

Literatures

1.

Мирзиёев Ш.М. Эркин ва фаровон,

демократик Ўзбекистон давлатини биргаликда
барпо

этамиз.

Ўзбекистон

Республикаси

Президенти лавозимига киришиш тантанали
маросимига

бағишланган

Олий

Мажлис

палаталарининг қўшма мажлисидаги нутқ. –
Тошкент: “Ўзбекистон” НМИУ, 2016. – 56 б.

2.

Ванюшкин А. С., Гращенко Л. А. Оценка

алгоритмов

извлечения

ключевых

слов:

инструментарий

и

ресурсы //

Новые

информационные

технологии

в

автоматизированных

системах. —

2017.

— №

20.

— С. 95—102.

3.

Николаев И. С., Митренина О. В., Ландо Т.

М. Прикладная и компьютерная лингвистика —
М.URSS, 2016. — 320 c.

4.

Фан ва таълимда ахборот-коммуникация

технологиялари:

республика

илмий-амалий

конференция маърузалар тўплами. - Т.: ТАТУ.

5.

Ҳамроева Ш. Ўзбек тили муаллифлик

корпусини тузишнинг лингвистик асослари. PhD
диссер.автореф. - Қарши,2018.-52 б.

6.

Ҳамроева

Ш.

Таълимда

корпусдан

фойдаланиш “Тил ва адабиёт таълими” журнали.
2017 йил сентябрь, № 9. Б.49-50.Ҳамроева Ш.
Корпус тузиш тамойиллари. “БухДУ илмий
ахборотномаси” журнали. 2018 йил. №3.

Библиографические ссылки

Мирзиёев Ш.М. Эркин ва фаровон, демократик Ўзбекистон давлатини биргаликда барпо этамиз. Ўзбекистон Республикаси Президенти лавозимига киришиш тантанали маросимига бағишланган Олий Мажлис палаталарининг қўшма мажлисидаги нутқ. – Тошкент: “Ўзбекистон” НМИУ, 2016. – 56 б.

Ванюшкин А. С., Гращенко Л. А. Оценка алгоритмов извлечения ключевых слов: инструментарий и ресурсы // Новые информационные технологии в автоматизированных системах. — 2017. — № 20. — С. 95—102.

Николаев И. С., Митренина О. В., Ландо Т. М. Прикладная и компьютерная лингвистика — М.URSS, 2016. — 320 c.

Фан ва таълимда ахборот-коммуникация технологиялари: республика илмий-амалий конференция маърузалар тўплами. - Т.: ТАТУ.

Ҳамроева Ш. Ўзбек тили муаллифлик корпусини тузишнинг лингвистик асослари. PhD диссер.автореф. - Қарши,2018.-52 б.

Ҳамроева Ш. Таълимда корпусдан фойдаланиш “Тил ва адабиёт таълими” журнали. 2017 йил сентябрь, № 9. Б.49-50.Ҳамроева Ш. Корпус тузиш тамойиллари. “БухДУ илмий ахборотномаси” журнали. 2018 йил. №3.

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