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Multilingual NLP

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Showing 26–50 of 96 papers

TitleStatusHype
A Multilingual Modeling Method for Span-Extraction Reading Comprehension—0
A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base—0
A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems—0
Automatic Parallel Corpus Creation for Hindi-English News Translation Task—0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks—0
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages—0
Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting—0
Challenges and Considerations with Code-Mixed NLP for Multilingual Societies—0
Challenges and Strategies in Cross-Cultural NLP—0
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning—0
Code-Mixed Telugu-English Hate Speech Detection—0
Coreference Strategies in English-German Translation—0
Cross-Linguistic Transfer in Multilingual NLP: The Role of Language Families and Morphology—0
DBpedia Abstracts: A Large-Scale, Open, Multilingual NLP Training Corpus—0
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities—0
I’ve got a construction looks funny – representing and recovering non-standard constructions in UD—0
IXA pipeline: Efficient and Ready to Use Multilingual NLP tools—0
LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization—0
Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora—0
Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Transfer in Sense-Aware Tasks—0
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks—0
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages—0
Multi-teacher Distillation for Multilingual Spelling Correction—0
nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models?—0
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?—0
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