INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1970
PRAGMALINGUISTIC ASPECT OF PUNCTUATION IN CORPUS LINGUISTICS
Shoniyozova Gulshoda Baxromovna
University of Information Technology and Management, assistant teacher
Annotation:
This article examines the pragmalinguistic functions of punctuation marks based
on corpus linguistics. Using examples and statistical data, it analyzes how punctuation conveys
the author's intent.
Keywords:
corpus linguistics, punctuation, pragmalinguistics, author’s intent, discourse
analysis.
Аннотация:
В статье рассматриваются прагмалингвистические функции знаков
препинания на основе данных корпусной лингвистики. На примерах и статистике
анализируется роль пунктуации в выражении авторского замысла.
Ключевые слова:
корпусная лингвистика, знаки препинания, прагмалингвистика,
авторский замысел, дискурсивный анализ.
Introduction
In the context of modern linguistic research, corpus linguistics has become an important tool in
the analysis of speech and written texts. In particular, the role of corpus data in determining the
pragmalinguistic significance of punctuation marks is invaluable. Punctuation marks have not
only grammatical, but also communicative functions, and they carry important pragmatic loads
in expressing the author's intention in the text [Bobojonov, 2020]. Therefore, this article aims to
study the pragmalinguistic functions of punctuation marks within the framework of corpus
linguistics.
Today, the correct interpretation of punctuation marks is of great importance in artificial
intelligence, automatic translation and text analysis systems. In order to correctly understand
the intonational and emotional tone, social and cultural context of the thoughts presented in the
text, it is necessary to conduct a deep analysis of the semantic-pragmatic loads of punctuation
marks. It is precisely the statistical and contextual capabilities of corpus linguistics that play an
important role in this.
Methodology
The study selected modern corpora such as UZCorpus, Sketch Engine, and TIL Corpus as the
main sources. From the selected corpora, more than 10 thousand sentences, mainly in the
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1971
artistic and journalistic style, were analyzed. Based on the corpus data, the position, function,
and communicative load of punctuation marks (period, comma, exclamation, question mark,
colon, etc.) were determined. The analysis used collocational analysis, pragmatic functional
classification, and discursive structure methods.
The methodological approach took into account the contextual location of texts, intersubjective
situations (for example, addressing the interlocutor, expressing an attitude), and
intonation/emotional components. Each punctuation mark was analyzed in a separate context,
and their pragmatic function was classified.
Results
Tadqiqot natijalari quyidagilarni ko‘rsatdi:
1.
Contextual function of punctuation:
For example, a comma is often used as an optional pause
or as a means of controlling the author's tone:
"Men sizga aytdim, lekin siz eshitmadingiz." Here, the comma is used to soften the contrast.
2.
The relationship between exclamation and question marks and interactive
functionality:
"Qayerga ketayapsiz?!" — Such constructions increase the emotional intensity of the speech
and strengthen the appeal to the participant in the conversation.
3.
The structural signaling role of semicolons and colons:
"U kelmadi: vaqt yo‘q edi."
— in this construction, the two dots act as connectors indicating a causal relationship.
4.
Collocations identified in the corpus analysis:
It was observed that the question mark
has a high collocation with question words such as “why”, “how”.
5.
Distribution of pragmatic loads:
As a result of the corpus-based analysis, it was found
that exclamation marks are used to express more personal emotions (surprise, anger, joy);
question marks are used to increase interactivity in communication. The comma performs
several different pragmatic functions depending on the context.
Discussion
Understanding the pragmalinguistic role of punctuation is relevant not only for analysis, but
also in the fields of translation, machine translation, artificial intelligence, and education.
Pragmatic trends identified through corpus linguistics allow for the correct interpretation of the
author's intention, understanding the context-specific tone, and increasing communicative
efficiency. Since punctuation marks have their own semantic-pragmatic connotations, they
should be analyzed not only as grammatical signs, but also as communicative tools [Rizayev,
2021]. For example, the same sentence structure acquires a completely different meaning with a
change in punctuation marks:
"Bu sizmi?" — just a question.
"Bu — sizmi?!" — a strong emotional expression of surprise and doubt.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 1972
In addition, some punctuation marks also have socio-pragmatic functions. For example, the
precise use of punctuation marks in formal speech determines the level of formality of the
communication.
Conclusion
This article examines the pragmalinguistic significance of punctuation in corpus linguistics. The
study demonstrates the relevance of the corpus approach in identifying the pragmatic functions
of punctuation. Each punctuation mark has its own communicative meaning, and it actively
participates in expressing the author's intention, the emotional tone of speech, and the
discursive structure. Corpus linguistics opens up great opportunities in this regard.
In the future, research in this area may be integrated with analytical systems based on artificial
intelligence, expanding the direction of automatic pragmatic analysis in linguistics.
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