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Multilingual NLP

4,621 papers

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Papers

Datasets Creation and Empirical Evaluations of Cross-Lingual Learning on Extremely Low-Resource Languages: A Focus on Comorian Dialects EACL 2024
Dependency Annotation of Ottoman Turkish with Multilingual BERT EACL 2024
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect EACL 2024
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses EACL 2024
GUIDE: Creating Semantic Domain Dictionaries for Low-Resource Languages EACL 2024
A New Dataset for Tonal and Segmental Dialectometry from the Yue- and Pinghua-Speaking Area EACL 2024
GTNC: A Many-To-One Dataset of Google Translations from NewsCrawl EACL 2024
Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification EACL 2024
A Call for Consistency in Reporting Typological Diversity EACL 2024
Stanceosaurus 2.0 - Classifying Stance Towards Russian and Spanish Misinformation EACL 2024
Table Question Answering for Low-resourced Indic Languages EMNLP 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese EMNLP 2024
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages EMNLP 2024
MTLS: Making Texts into Linguistic Symbols EMNLP 2024
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages EMNLP 2024
Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024
An Analysis of Multilingual FActScore EMNLP 2024
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects EMNLP 2024
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing EMNLP 2024
Concept Space Alignment in Multilingual LLMs EMNLP 2024
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian EMNLP 2024
What is “Typological Diversity” in NLP? EMNLP 2024
Pretraining Language Models Using Translationese EMNLP 2024
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval EMNLP 2024