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EMNLP

NLP
20,347 papers · 2000–2025

EMNLP (Conference on Empirical Methods in Natural Language Processing) focuses on empirical and statistical approaches to natural language processing.

Papers per year

148
126
321
1,823
4,182
'5
'10
'15
'20
'25

Top authors

Min Zhang 122 papers
Yang Liu 99 papers
Xuanjing Huang 98 papers
Iryna Gurevych 95 papers
Heng Ji 89 papers
Qi Zhang 89 papers
Yue Zhang 87 papers
Dan Roth 85 papers
Graham Neubig 84 papers
Zhiyuan Liu 81 papers

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.

Newest papers

Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms 2025
It Takes Two: A Dual Stage Approach for Terminology-Aware Translation 2025
Terminology-Constrained Translation from Monolingual Data Using GRPO 2025
IRB-MT at WMT25 Terminology Translation Task: Metric-guided Multi-agent Approach 2025
Contextual Selection of Pseudo-terminology Constraints for Terminology-aware Neural Machine Translation in the IT Domain 2025
Fine-tuning NMT Models and LLMs for Specialised EN-ES Translation Using Aligned Corpora, Glossaries, and Synthetic Data: MULTITAN at WMT25 Terminology Shared Task 2025
Laniqo at WMT25 Terminology Translation Task: A Multi-Objective Reranking Strategy for Terminology-Aware Translation via Pareto-Optimal Decoding 2025
TranssionMT’s Submission to the Indic MT Shared Task in WMT 2025 2025
BVSLP: Machine Translation Using Linguistic Embellishments for IndicMT Shared Task 2025 2025
AkibaNLP-TUT: Injecting Language-Specific Word-Level Noise for Low-Resource Language Translation 2025
A Preliminary Exploration of Phrase-Based SMT and Multi-BPE Segmentations through Concatenated Tokenised Corpora for Low-Resource Indian Languages 2025
DoDS-IITPKD:Submissions to the WMT25 Low-Resource Indic Language Translation Task 2025
ANVITA : A Multi-pronged Approach for Enhancing Machine Translation of Extremely Low-Resource Indian Languages 2025
RBG-AI: Benefits of Multilingual Language Models for Low-Resource Languages 2025
Transformers: Leveraging OpenNMT and Transfer Learning for Low-Resource Indian Language Translation 2025
DELAB-IIITM WMT25: Enhancing Low-Resource Machine Translation for Manipuri and Assamese 2025
Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo 2025
An Attention-Based Neural Translation System for English to Bodo 2025
JU-NLP: Improving Low-Resource Indic Translation System with Efficient LoRA-Based Adaptation 2025
WMT 2025 CreoleMT Systems Description : Martinican Creole and French 2025
All EMNLP 2025 papers →