Search Results for author: Ramakrishna Appicharla

Found 6 papers, 2 papers with code

Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards

1 code implementation23 Oct 2023 Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah

Translating questions using Neural Machine Translation (NMT) poses more challenges, especially in noisy environments, where the grammatical correctness of the questions is not monitored.

Community Question Answering Domain Adaptation +3

A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation

no code implementations11 Aug 2023 Ramakrishna Appicharla, Baban Gain, Santanu Pal, Asif Ekbal

In this paper, we further explore this idea by evaluating with context-aware pronoun translation test set by training multi-encoder models trained on three different context settings viz, previous two sentences, random two sentences, and a mix of both as context.

Machine Translation Translation

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