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researcher

Ramakrishna Appicharla

7 papers hereh-index 562 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL7

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedA Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation

1 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CL2024

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning

Ramakrishna Appicharla, Baban Gain, Santanu Pal +2

In document-level neural machine translation (DocNMT), multi-encoder approaches are common in encoding context and source sentences. Recent studies \cite{li-etal-2020-multi-encoder…

cs.CL2024★ 1 cited

Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation

Kartik Kartik, Sanjana Soni, Anoop Kunchukuttan +2

The widespread online communication in a modern multilingual world has provided opportunities to blend more than one language (aka code-mixed language) in a single utterance. This…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.