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Natural Language Processing
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Machine Translation
4518 directly classified papers
Papers per year
2002: 1
2003: 1
2006: 2
2007: 3
2008: 1
2010: 1
2011: 1
2012: 1
2013: 2
2014: 1
2015: 1
2016: 38
2017: 105
2018: 344
2019: 452
2020: 524
2021: 686
2022: 501
2023: 508
2024: 587
2025: 655
2026: 103
Papers
Tuning Less, Prompting More: In-Context Preference Learning Pipeline for Natural Language Transformation
EMNLP 2025
Reliable Evaluation and Benchmarks for Statement Autoformalization
EMNLP 2025
Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE
EMNLP 2025
PRIM: Towards Practical In-Image Multilingual Machine Translation
EMNLP 2025
Translation in the Hands of Many: Centering Lay Users in Machine Translation Interactions
EMNLP 2025
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
EMNLP 2025
Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation
ACL 2025
GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning
ACL 2025
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR
NAACL 2025
Did Translation Models Get More Robust Without Anyone Even Noticing?
ACL 2025
Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation
ACL 2025
Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas
NAACL 2025
Comparative Evaluation of Machine Translation Models Using Human-Translated Social Media Posts as References: Human-Translated Datasets
NAACL 2025
Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark
EMNLP 2025
C3: A Bilingual Benchmark for Spoken Dialogue Models Exploring Challenges in Complex Conversations
EMNLP 2025
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
EMNLP 2025
Effectively combining Phi-4 and NLLB for Spoken Language Translation: SPRING Lab IITM’s submission to Low Resource Multilingual Indic Track
ACL 2025
Instituto de Telecomunicações at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning
ACL 2025
Evaluating Language Translation Models by Playing Telephone
EMNLP 2025
KIT’s Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization
ACL 2025
GMU Systems for the IWSLT 2025 Low-Resource Speech Translation Shared Task
ACL 2025
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge’ez Script.
EMNLP 2025
Viability of Machine Translation for Healthcare in Low-Resourced Languages
EMNLP 2025
A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment
ACL 2025
UCSP Submission to the AmericasNLP 2025 Shared Task
NAACL 2025
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