LINGUISTICS AND ARTIFICIAL INTELLIGENCE: SCIENTIFIC FOUNDATIONS OF NATURAL LANGUAGE PROCESSING
Referat
This article explores the intersection of linguistics and artificial intelligence (AI) with a focus on the scientific foundations of natural language processing (NLP). The study reviews core linguistic principles, discusses their integration into AI-driven NLP systems, and highlights challenges in semantic analysis, syntactic parsing, and machine learning. The paper concludes by emphasizing the future potential of NLP in advancing human-computer interaction.
Mualliflar haqida
Adabiyotlar ro'yxati
Brown, P. F., Pietra, V. J. D., Pietra, S. A. D., & Mercer, R. L. (1993). The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics, 19(2), 263–311.
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1, 4171–4186.
Chomsky, N. (1957). Syntactic structures. Mouton.
Jurafsky, D., & Martin, J. H. (2023). Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition (3rd ed.). Pearson.
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30, 5998–6008.
Saussure, F. (1916). Course in general linguistics (W. Baskin, Trans.). Philosophical Library. (Original work published 1916)
Peters, M. E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018). Deep contextualized word representations. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1, 2227–2237.
Hovy, E., & Spruit, S. L. (2016). The social impact of natural language processing. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 591–598.
Pennington, J., Socher, R., & Manning, C. D. (2014). GloVe: Global vectors for word representation. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 1532–1543.
