English to Marathi Machine Translation Linguistic Divergence Using ANN

Maniyar, Simran N.; Kulkarni, Sonali B.

doi:10.1109/icast55766.2022.10039567

Cited by 1 publication

(1 citation statement)

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“…The research conducted by [25] showed that divergence is a significant hurdle in MT. Divergence was studied and classified in this study with a particular focus on topic, category, and structural differences.…”

Section: Figure 2 DL Architecture [15]mentioning

confidence: 99%

The Impact of Artificial Intelligence on Language Translation: A Review

Mohamed,

Khanan,

Bashir

et al. 2024

IEEE Access

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In the context of a more linked and globalized society, the significance of proficient crosscultural communication has been increasing to a position of utmost importance. Language functions as a crucial medium that establishes connections among people, corporations, and countries, thus demanding the implementation of precise and effective translation systems. This comprehensive review paper aims to contribute to the evolving landscape of AI-driven language translation by critically examining the existing literature, identifying key debates, and uncovering areas of innovation and limitations where the primary objective -is to provide a nuanced understanding of the current state of AI-driven language translation, along with emphasizing the advancements, challenges, and ethical considerations. In this review, ongoing debates surrounding AI-driven language translations were actively involved. By evaluating different viewpoints and methodologies, insights into unresolved questions that contribute to broader discourse in the field were provided. The future trajectory of this study is the incorporation of cross-lingual dialect adaptability and the advancement of Artificial Intelligence translation systems, with a focus on prioritizing inclusion and cultural understanding.

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Section: Figure 2 DL Architecture [15]mentioning

confidence: 99%