4 papers · 1 filter
Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation
Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya
Neural Machine Translation (NMT) systems rely heavily on explicit punctuation cues to resolve semantic ambiguities in a source sentence. Inputting user-generated sentences, which a…
Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling
Tejomay Kishor Padole, Suyash P Awate, Pushpak Bhattacharyya
Masked diffusion language models (MDMs) have recently gained traction as a viable generative framework for natural language. This can be attributed to its scalability and ease of t…
Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editing
Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya
Automatic Post-Editing (APE) systems often struggle with over-correction, where unnecessary modifications are made to a translation, diverging from the principle of minimal editing…
Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages
Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya
This exploratory study investigates the potential of multilingual Automatic Post-Editing (APE) systems to enhance the quality of machine translations for low-resource Indo-Aryan la…