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Machine Translation

4518 directly classified papers

Papers per year

Papers

Cross-Lingual Sentence Compression for Length-Constrained Subtitles in Low-Resource Settings COLING 2025
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge’ez Script. EMNLP 2025
TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated Tags COLING 2025
JOLT-SQL: Joint Loss Tuning of Text-to-SQL with Confusion-aware Noisy Schema Sampling EMNLP 2025
DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation EMNLP 2025
MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation EMNLP 2025
Leveraging Dictionaries and Grammar Rules for the Creation of Educational Materials for Indigenous Languages NAACL 2025
Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation EMNLP 2025
SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? EMNLP 2025
Translation in the Hands of Many: Centering Lay Users in Machine Translation Interactions EMNLP 2025
Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation EMNLP 2025
Reliable Evaluation and Benchmarks for Statement Autoformalization EMNLP 2025
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement EMNLP 2025
Multimodal Neural Machine Translation: A Survey of the State of the Art EMNLP 2025
JHU’s Submission to the AmericasNLP 2025 Shared Task on the Creation of Educational Materials for Indigenous Languages NAACL 2025
An Interdisciplinary Approach to Human-Centered Machine Translation EMNLP 2025
Can Large Language Models Translate Unseen Languages in Underrepresented Scripts? EMNLP 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models EMNLP 2025
BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation EMNLP 2025
Comparative Evaluation of Machine Translation Models Using Human-Translated Social Media Posts as References: Human-Translated Datasets NAACL 2025
Sentence-Alignment in Semi-parallel Datasets NAACL 2025
Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation NAACL 2025
RAGthoven at SemEval 2025 - Task 2: Enhancing Entity-Aware Machine Translation with Large Language Models, Retrieval Augmented Generation and Function Calling ACL 2025