This work contributes a preliminary cross-system comparison for an underexplored language pair and lays the groundwork for larger-scale evaluations of gender-inclusive AT, indicating that all four models struggle to faithfully convey gender information from source to target.
This study investigates the translation of gender from English into Arabic, focusing on the performance of senior-level translation students in a literary context. Building on previous research on verbal and adjectival translation, the article adopts a mixed-methods approach combining quantitative frequency analysis wi...
K. Mansoor, Daniel Dejica· Scientific Bulletin of the P...· 0 citations
Assessment of how GT and GPT-4o translate English VPE into Arabic focuses on the accuracy of ellipsis reconstruction and the translation strategies employed, highlighting the importance of better-quality training data for NMT and LLM tools for both discourse-level processing and context-dependent data.
Eassa Ali, Abbas Brashi, Dana Awad et al.· The International Journal of...· 0 citations
The Cross-Lingual Comprehension Gap (CLCG) is defined as the reduction in response quality when the same content and question are presented in a target language rather than in English.
J-PragEval-v0 is introduced, a minimal-pair benchmark isolating four such phenomena from surface fluency, and Pragmatic Representation Steering is specified, a parameter-free inference-time method that edits residual-stream activations along the class-mean-difference directions probing identifies.
This paper analyses various recent state-of-the-art variants of large language models (LLMs) and neural machine translation (NMT) for Indian languages in comparison to statistical machine translation (SMT) and tackles key questions, such as idiomatic expressions, morphologically complex grammar or the scarceness of par...
Jayanand A. Kamble, Shivajirao M. Jadhav, V. J. Kadam· International Journal of Inf...· 0 citations
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