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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 2026Show all

2 papers · 1 filter

cs.CL2026

Source-Free MT Evaluation Is Not MT Evaluation

Baban Gain, Ramakrishna Appicharla, Asif Ekbal

Reference-based metrics remain the standard choice in machine translation evaluation, partly because quality estimation methods often correlate less well with human judgments. As a…

cs.CL2026

Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy

Ramakrishna Appicharla, Baban Gain, Santanu Pal +1

When humans translate, not every word depends equally on the surrounding context. Some tokens, particularly function words like pronouns and auxiliaries, rely heavily on preceding…

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