Part-of-Speech Tagging for Azerbaijani Language

Mammadov, Samir; Rustamov, Samir; Mustafali, Ali; Sadigov, Ziyaddin; Mollayev, Rasim; Mammadov, Zamir

doi:10.1109/icaict.2018.8747154

Cited by 7 publications

(4 citation statements)

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“…For example, while Russian has three types of declension of nouns, Turkish has one declension system. (Mammadov N., 1971) N. Dmitriyev also pointed out this fact and shows that "unlike other group of languages, Turkish languages have a certain state. In other words, Turkish languages do not have the first, second, and third cases in Russian, or the strong, weak, and mixed cases in German" (Dmitriev N., 1962).…”

Section: Declension Possibilities Of Nouns In World Languagesmentioning

confidence: 94%

The Place of the Case Category i̇n the Language System

Yegana Gurbat

2023

EJHSS

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The case category is a grammatical category that exists in most of the world's languages, but it is not a single system for all languages, it is a grammatical category that appears with its own characteristics due to the laws of development of each language. Although there are several types of case in world languages, for Turkish languages there is one type is characteristic.In the Orkhon-Yenisei monuments, there were nine cases of the noun, the ninth case was called the instrumental-joint case. The same situation can also be found in Uighur written monuments. In modern times, the joint case in the Kazakh, Karachay-Balkar, Karaim, Khakas, Shor, Chuvash, and Yakut languages existed as the seventh case in the grammar books of the Azerbaijani language until 1939, but later it was removed from the textbooks and only six cases were preserved.Methods: Since the case category exists historically in world languages, including Turkish and Azerbaijani languages, diachronic, synchronic, as well as comparative-historical and comparative-typological methods were used in the article.

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Section: Declension Possibilities Of Nouns In World Languagesmentioning

confidence: 94%

The Place of the Case Category i̇n the Language System

Yegana Gurbat

2023

EJHSS

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“…However, the accuracy of the models is usually proportional to the number of tokens used in the model training [14]. HMM models have also been used for other less common languages like Arabic [15], Azerbaijani [16], Indonesian [17], and Nepali [18], with accuracy spanning from 70% to 90%. A notable drawback of HMM models arises when encountering unknown words-those not encountered during training.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language

Adebayo,

Anbananthen,

Muthaiyah

et al. 2024

HighTech. Innov. J.

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Despite the widespread use of Malay, under-resourced languages like Malay face challenges in Natural Language Processing (NLP), particularly in Part-of-Speech (POS) tagging. The scarcity of annotated corpora poses a primary obstacle to POS tagging in Malay. This study aims to enhance the effectiveness and reliability of POS tagging models explicitly tailored for under-resourced languages within the field of NLP, focusing on Malay. Existing models, which rely on Conditional Random Fields and Hidden Markov Models, exhibit limitations, underscoring the need for more robust approaches. The research conducts a comparative analysis of various deep-learning models with different encoders for POS tagging in Malay sentences. The experimental analysis demonstrates that the Bidirectional Long Short-Term Memory (Bi-LSTM) model, leveraging a pre-trained Bidirectional Encoder Representations from Transformers (BERT) embedding model, achieves exceptional accuracy, precision, recall, and F1 scores in predicting tags. Notably, the BERT + Bi-LSTM model, boasting an accuracy of 98.82%, outperforms other models, showcasing superior performance across all evaluated metrics. Additionally, this combined model effectively handles known and unknown words, yielding highly accurate POS tagging results for Malay sentences. Doi: 10.28991/HIJ-2024-05-02-04 Full Text: PDF

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“…This paper attempts to consider some cultural aspects of translation which create difficulties in disclosing cultural distances and indicate ways to eliminate them. reached perfection -the head of Zoroaster al-Azerbaijan" (Mammadov, 1993).…”

Section: Forewordmentioning

confidence: 99%

Cultural paradigms

Novruzov¹

2023

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and the publisher. No part of it may be reproduced in any manner whatsoever without permission in writing from the copyright owner. In case of brief quotations of the work do not change the contents and make sure to note whose it iss Publikacja dofinansowana ze środków budżetu państwa w ramach programu Ministra Edukacji i Nauki pod nazwą Doskonała Nauka, nr projektu DNK/ SN/550177/2022, kwota dofinansowania 118 624 zł, całkowita wartość projektu 297 864 zł.

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Part-of-Speech Tagging for Azerbaijani Language

Cited by 7 publications

References 5 publications

The Place of the Case Category i̇n the Language System

The Place of the Case Category i̇n the Language System

Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language

Cultural paradigms

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