SINTAKTIK SINONIMIYA VA UNI ANIQLASH XUSUSIDA
Keywords:
classification of synonyms, syntactic synonomy, language models, T5 model, parapharsing.Abstract
This paper explores the complex realm of synonymy, focusing on its various classifications based on meaning and form, including syntactic synonymy. It delves into the intricate methods of shaping syntactic synonymy, acknowledging the challenges in automatic identification using algorithms alone. The paper proposes the use of advanced AI models, specifically the T5 language model, as a more effective solution for this linguistic task. The study aims to enhance our understanding of synonymy and contribute to the development of more sophisticated language processing tools.
References
Пинхасов Д. Ҳозирги ўзбек адабий тили. Лексикология ва фразеология. –Тошкент: Ўқитувчи, 1969. –Б. 16.
Polvonova B. O‘zbek tilida sinonimiya talqini. Oriental Renaissance: Innovative, educational, natural and social sciences. VOLUME 1 | ISSUE 11 ISSN 2181-1784, 2021. – B. 891.
Vafa Ahmed gizi Rashidli. Syntactic synonymy, syntactic variability, syntactic transformation, syntactic equivalence // “Colloquium-journal” / Philological sciences / 17(140), 2022, pp. 74-77. http://doi.org/10.24412/2520-6990-2022-17140-73-77
https://huggingface.co/docs/transformers/model_doc/t5
https://huggingface.co/docs/transformers/tasks/translation
https://colab.research.google.com/github/patil-suraj/exploring- T5/blob/master/t5_fine_tuning.ipynb
https://colab.research.google.com/drive/1obr78FY_cBmWY5ODViCmzdY6O1KB65Vc? usp=sharing
https://huggingface.co/docs/transformers/tasks/summarization
https://colab.research.google.com/github/snapthat/TF-T5-text-to- text/blob/master/snapthatT5/notebooks/TF-T5-Datasets%20Training.ipynb
