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Natural language processing for dialects of a language: A survey
State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …
corpora, and report a superlative performance on evaluation datasets. This survey delves …
NADI 2022: The third nuanced Arabic dialect identification shared task
M Abdul-Mageed, C Zhang, AR Elmadany… - ar** natural language processing (NLP) tools for Arabic
has shifted from Modern Standard Arabic to various Arabic dialects. Various corpora of …
has shifted from Modern Standard Arabic to various Arabic dialects. Various corpora of …
Nadi 2024: The fifth nuanced arabic dialect identification shared task
We describe the findings of the fifth Nuanced Arabic Dialect Identification Shared Task
(NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance …
(NADI 2024). NADI's objective is to help advance SoTA Arabic NLP by providing guidance …
Exploring the impact of transliteration on NLP performance: Treating Maltese as an Arabic dialect
Multilingual models such as mBERT have been demonstrated to exhibit impressive
crosslingual transfer for a number of languages. Despite this, the performance drops for …
crosslingual transfer for a number of languages. Despite this, the performance drops for …
Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus
This paper provides a systematic analysis and comparison of the performance of state-of-the-
art models on the task of fine-grained Arabic dialect identification using the MADAR parallel …
art models on the task of fine-grained Arabic dialect identification using the MADAR parallel …