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← Generation
Natural Language Processing
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Machine Translation
1592 directly classified papers
Papers per year
2008: 1
2013: 1
2014: 1
2016: 20
2017: 84
2018: 125
2019: 190
2020: 244
2021: 197
2022: 204
2023: 193
2024: 112
2025: 219
2026: 1
Papers
Sequence-to-Sequence Spanish Pre-trained Language Models
COLING 2024
Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting
EMNLP 2024
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation
EMNLP 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models
EMNLP 2024
On Creating an English-Thai Code-switched Machine Translation in Medical Domain
EMNLP 2024
BLASER 2.0: a metric for evaluation and quality estimation of massively multilingual speech and text translation
EMNLP 2024
Textless Speech-to-Speech Translation With Limited Parallel Data
EMNLP 2024
Using Language Models to Disambiguate Lexical Choices in Translation
EMNLP 2024
Word Alignment as Preference for Machine Translation
EMNLP 2024
LLMs Are Zero-Shot Context-Aware Simultaneous Translators
EMNLP 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
EMNLP 2024
Improving Vietnamese-English Medical Machine Translation
COLING 2024
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
EMNLP 2024
Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean
COLING 2024
Translation of Multifaceted Data without Re-Training of Machine Translation Systems
EMNLP 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
EMNLP 2024
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
EMNLP 2024
Evaluating Automatic Metrics with Incremental Machine Translation Systems
EMNLP 2024
Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs
EMNLP 2024
Enhancing Neural Machine Translation for Ainu-Japanese: A Comprehensive Study on the Impact of Domain and Dialect Integration
EMNLP 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation
EMNLP 2024
INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation
COLING 2024
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs
ACL 2024
Teaching Large Language Models an Unseen Language on the Fly
ACL 2024
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages
ACL 2024
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