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20202025
most citedBLEU, METEOR, BERTScore: Evaluation of Metrics Performance in Assessing Critical Translation Errors in Sentiment-oriented Text

34 citations · 60 across the 11 of their papers we have counts for

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18 papers · 1 filter

cs.CL2025

ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models

Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew +2

Large Language Models (LLMs) have shown remarkable performance across a wide range of natural language processing tasks. Quality Estimation (QE) for Machine Translation (MT), which…

cs.CL20251 cited

When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages

Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan +1

This paper investigates the reference-less evaluation of machine translation for low-resource language pairs, known as quality estimation (QE). Segment-level QE is a challenging cr…

cs.CL20241 cited

Benchmarking terminology building capabilities of ChatGPT on an English-Russian Fashion Corpus

Anastasiia Bezobrazova, Miriam Seghiri, Constantin Orasan

This paper compares the accuracy of the terms extracted using SketchEngine, TBXTools and ChatGPT. In addition, it evaluates the quality of the definitions produced by ChatGPT for t…

cs.CL2024

Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study

Hadeel Saadany, Ashraf Tantawy, Constantin Orasan

With the advent of Neural Machine Translation (NMT) systems, the MT output has reached unprecedented accuracy levels which resulted in the ubiquity of MT tools on almost all online…

cs.CL20247 cited

Google Translate Error Analysis for Mental Healthcare Information: Evaluating Accuracy, Comprehensibility, and Implications for Multilingual Healthcare Communication

Jaleh Delfani, Constantin Orasan, Hadeel Saadany +5

This study explores the use of Google Translate (GT) for translating mental healthcare (MHealth) information and evaluates its accuracy, comprehensibility, and implications for mul…

cs.CL2023

SurreyAI 2023 Submission for the Quality Estimation Shared Task

Archchana Sindhujan, Diptesh Kanojia, Constantin Orasan +1

Quality Estimation (QE) systems are important in situations where it is necessary to assess the quality of translations, but there is no reference available. This paper describes t…