التحيز الجنسي في التَّرْجَمَةً الآلية: تحليل الخيارات اللغوية في ألأنظمه الآلية

Angelelli, C. V. (2014). The Sociological Turn in Translation and Interpreting Studies. Amsterdam: John Benjamins.

Baker, M. (2018). In other words: A Course Book on Translation (3rd ed.). London: Routledge.

Baker, M., & Maier, C. (2011). Ethics in Interpreter & Translator Training: Critical

perspectives. The Interpreter and Translator Trainer.

Baker, M., & Saldanha, G. (2019). Routledge Encyclopedia of Translation Studies (3rd ed.). London: Routledge.

Bansal, R. (2022). A survey on Bias and Fairness in Natural Language Processing. arXiv.

Bassnett, S. (2014). Translation Studies (4th ed.). London: Routledge.

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can language Models be too big? Proceedings of FAccT '21.

Bielsa, E., & Bassnett, S. (2020). Translation in Global News (2nd ed.). London: Routledge.

Castilho, S. (2021). Challenges in Post-editing Literary Texts: Human Effort and Machine Creativity.

Chang, K.-W., Prabhakaran, V., & Ordonez, V. (2019). Bias and Fairness in Natural Language Processing. EMNLP-IJCNLP Tutorial Abstracts. Association for Computational Linguistics.

Chaqmaqchee, O. & Naithel, O. (2025). Artificial Intelligence in English Language Education in Iraq: A Review Study of Interventions and Perceptions. Wasit Journal for Humanities, 20(3), 1124–1147.doi https://doi.org/10.31185/wjfh.Vol21.Iss3.1080

Chesterman, A. (2016). Memes of Translation: The Spread of Ideas in Translation Theory (2nd ed.). Amsterdam: John Benjamins.

Ciora, C., Iren, N., & Alikhani, M. (2021). Examining Covert Gender Bias: A case Study in Turkish and English Machine Translation models.

Costa-jussà, M. R., & de Jorge, P. (2019). Mitigating Gender Bias in Machine Translation: Literature Review. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence: Association for Computational Linguistics.

Dickens, C. (1861). Great Expectations. London: Chapman and Hall.

Flint, K. (1995). The woman reader, 1837–1914. Oxford: Oxford University Press.

Garcia, A., Sun, M., & Tiedemann, J. (2022). Gender-Inclusive Machine Translation: A Feminist Computational Approach. Journal of Computational Linguistics, 48(1), 95–121.

Habash, N., & Faraj, R. (2022). Gender Bias and Morphological Richness in Arabic-English Neural Machine Translation. Natural Language Engineering.

Hovy, D., & Spruit, S. L. (2016). The Social Impact of Natural Language Processing. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).

Hu, Y., & Zhang, L. (2023). Cognitive-Emotive Aspects of Literary Translation and Neural Machine Translation. Journal of Literary Translation Studies.

Koehn, P. (2021). Neural machine translation. Cambridge: Cambridge University Press.

Larson, S., & Jojic, O. (2020). Gender Bias in Natural Language Processing: A Survey. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts.

Lee, J., & Park, S. (2024). Evaluating Narrative Voice and Tone in NMT literary Outputs. Digital Translation Review.

Michie, E. (1992). Outside the Pale: Cultural Exclusion, Gender Difference, and the Victorian Woman Writer. Ithaca, NY: Cornell University Press.

Michie, E. (1992). Sororophobia: Differences Among Women in Literature and Culture. Oxford: Oxford University Press.

Moniz, H., & Parra Escartín, C. (Eds.). (2023). Towards Responsible Machine Translation: Ethical and Legal Considerations in Machine Translation. Springer.

Moryossef, A., Goldberg, Y., & Dagan, I. (2019). Filling Gender and Number Gaps in Neural Machine Translation Using Black-Box Context Injection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

Moorkens, J. (2020). The Use of Machine Translation in Literary Texts: A Matter of Ethics.

Munday, J. (2016). Introducing Translation Studies: Theories and Applications (4th ed.). London: Routledge.

Prates, M. R., Avelar, F. C., & Lamb, L. C. (2020). Assessing Gender Bias in Machine Translation: A Case Study with Google Translate. In the NeurIPS 2018 Workshop on Ethics in NLP. Montréal: NeurIPS Conference Proceedings.

Pym, A. (2010). Exploring Translation Theories. London: Routledge.

Saunders, D., Ruder, S., & Søgaard, A. (2020). Reducing gender Bias in Neural Machine Translation as a Domain Adaptation problem.

Savoldi, B., Anastasopoulos, A., Belinkov, Y., & Tiedemann, J. (2021). Gender Bias in Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2021. Punta Cana: Association for Computational Linguistics.

Sennrich, R., & Haddow, B. (2020). Low-Resource Machine Translation with Pre-Trained Language Models. Machine Translation.

Spivak, G. C. (1993). The Politics of Translation. In Outside in the Teaching Machine. London: Routledge.

Stanovsky, G., Smith, N. A., & Zettlemoyer, L. (2019). Evaluating Gender Bias in Machine Translation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Florence: Association for Computational Linguistics.

Toral, A. (2022). Literary Translation and Neural Machine Translation: Overcoming the Limits of Literalism. Translation Spaces, 11(2), 145–162.

Tymoczko, M. (2007). Enlarging Translation, Empowering Translators. London: Routledge.

Van Rijsselbergen, D., & Lefever, E. (2021). Gender Bias in Machine Translation: A Review of Current Research and Future Directions. Language Resources and Evaluation.

Venuti, L. (2012). The Translator’s Invisibility: A History of Translation (2nd ed.). London: Routledge.

Vinay, J. P., & Darbelnet, J. (1995). Comparative Stylistics of French and English: A Methodology for Translation (J. C. Sager & M.-J. Hamel, Trans.). Amsterdam: John Benjamins. (Original work published 1958).

Wu, H., Yang, J., & Liu, X. (2022). Interpreting Ambiguity and Allusion in Literary Neural MT: A Semantic-Pragmatic Perspective. Language and Translation Technology.

Wu, Y., & Zhang, X. (2020). Cultural Adaptation in Translation: Balancing Fidelity and Acceptability. Meta: Journal des traducteurs.