الذكاء الاصطناعي وعلم التداولية: هل تتبع روبوتات المحادثة افعال الكلام والمبادئ ؟تقييم المحادثات المُولدة بواسطة الذكاء الاصطناعي باستخدام علم التداولية

Austin, J. L. (1962). How to do things with words. Oxford University Press.

Bender, E. M., & Koller, A. (2020). Climbing towards NLU: On meaning, form, and understanding in the age of data. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 5185–5198. https://doi.org/10.18653/v1/2020.acl-main.463

Bojic, L., Kovacevic, P., & Cabarkapa, M. (2023). GPT-4 Surpassing Human Performance in Linguistic Pragmatics. arXiv preprint arXiv:2312.09545. https://arxiv.org/abs/2312.09545

Chaves, A. P., & Gerosa, M. A. (2021). How should my chatbot interact? A survey on human-chatbot interaction design. International Journal of Human-Computer Interaction, 37(10), 906–931. https://doi.org/10.1080/10447318.2020.1841438

Eragamreddy, N. (2025). The impact of AI on pragmatic competence. The Journal of Teaching English for Specific and Academic Purposes, 13(1), 169–189.

Georgila, K., Artstein, R., & Traum, D. (2020). Pragmatic appropriateness of chatbot responses in task-based dialogue. Dialogue & Discourse, 11(1), 55–83.

Goodman, N. D., & Frank, M. C. (2016). Pragmatic language interpretation as probabilistic inference. Trends in Cognitive Sciences, 20(11), 818–829.

Grice, H. P. (1975). Logic and conversation. In P. Cole & J. L. Morgan (Eds.), Syntax and semantics (Vol. 3, pp. 41–58). Academic Press.

Henderson, P., Hu, J., Romoff, J., Brunskill, E., Jurafsky, D., & Pineau, J. (2018). Ethical challenges in data-driven dialogue systems. Proceedings of AAAI/ACM AI Ethics Workshop. https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/17802

Huang, J., He, H., & Zhu, M. (2019). Challenges in evaluating conversational agents: The role of pragmatics. Proceedings of NeurIPS Workshop on Conversational AI.

Jurafsky, D., & Martin, J. H. (2021). Speech and language processing (3rd ed.) [Draft version]. https://web.stanford.edu/~jurafsky/slp3/

Kiela, D., Bulat, L., Lample, G., & Cho, K. (2019). Supervised multimodal bitransformers for classifying images and text. Proceedings of EMNLP, 413–423.

Khurana, D., Koli, A., Khatter, K., & Singh, S. (2023). Natural language processing: state of the art, current trends and challenges. Multimedia Tools and Applications, 82, 3713–3744.

Levinson, S. C. (1983). Pragmatics. Cambridge University Press.

Levinson, S. C. (2023). Pragmatics in the age of artificial intelligence. Cambridge University Press.

Makowski, S., & Levin, E. (2024). Beyond pattern matching: The limits of pragmatic understanding in large language models. Proceedings of the Association for Computational Linguistics, 42, 82–96.

Miehling, E., Theodorou, A., Weller, A., & Singh, P. (2024). Conversational Maxims for Human-AI Interactions. Findings of the Association for Computational Linguistics: EMNLP 2024.

Najem, A. S., & Abbas, N. F. (2025). A pragmatic analysis of emotional blackmail in the American movie No One Would Tell (2018). Waset Journal of Human Sciences, 21(1/Pt1), 983–951.

Panfili, L., Duman, S., Nave, A., Phelps Ridgeway, K., Eversole, N., & Sarikaya, R. (2021). Human-AI interactions through a Gricean lens. Proceedings of the Linguistic Society of America, 6(1), 288–302.

Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Xu, J., ... & Weston, J. (2021). Recipes for building an open-domain chatbot. arXiv, arXiv:2004.13637.

Searle, J. R. (1969). Speech acts: An essay in the philosophy of language.Cambridge University Press.

Searle, J. R. (1979). Expression and meaning: Studies in the theory of speech acts.Cambridge University Press.

Shieber, S. (2021). Pragmatic failures in dialogue systems: A case for human evaluation. Journal of Artificial Intelligence Research, 70, 623–648.

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.

Wang, Z., Li, J., Ren, P., & Chen, Z. (2025). Cultural Learning-Based Culture Adaptation of Language Models. arXiv preprint arXiv:2504.02953.