NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task DOI Creative Commons
Muhammad Abdul-Mageed,

AbdelRahim Elmadany,

Chiyu Zhang

et al.

Published: Jan. 1, 2023

We describe the findings of fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective NADI is to help advance state-of-the-art NLP by creating opportunities for teams researchers collaboratively compete under standardized conditions. It does so with a focus on dialects, offering novel datasets and defining subtasks that allow meaningful comparisons between different approaches. 2023 targeted both dialect identification (Subtask1) dialect-to-MSA machine translation (Subtask 2 Subtask 3). A total 58 unique registered shared task, whom 18 have participated (with 76 valid submissions during test phase). Among these, 16 in 1, 5 2, 3 3. winning achieved 87.27 F1 14.76 Bleu 21.10 3, respectively. Results show all three remain challenging, thereby motivating future work this area. methods employed participating briefly offer an outlook NADI.

Language: Английский

NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task DOI Creative Commons
Muhammad Abdul-Mageed,

AbdelRahim Elmadany,

Chiyu Zhang

et al.

Published: Jan. 1, 2023

We describe the findings of fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective NADI is to help advance state-of-the-art NLP by creating opportunities for teams researchers collaboratively compete under standardized conditions. It does so with a focus on dialects, offering novel datasets and defining subtasks that allow meaningful comparisons between different approaches. 2023 targeted both dialect identification (Subtask1) dialect-to-MSA machine translation (Subtask 2 Subtask 3). A total 58 unique registered shared task, whom 18 have participated (with 76 valid submissions during test phase). Among these, 16 in 1, 5 2, 3 3. winning achieved 87.27 F1 14.76 Bleu 21.10 3, respectively. Results show all three remain challenging, thereby motivating future work this area. methods employed participating briefly offer an outlook NADI.

Language: Английский

Citations

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