Dialect Identification
32 papers with code • 0 benchmarks • 3 datasets
Dialectal Arabic Identification
Benchmarks
These leaderboards are used to track progress in Dialect Identification
ArSarcasm-v2
Most implemented papers
Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task
mohamedgabr96/NeuralDialectDetector
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EACL (WANLP) 2021
Tasks are to identify the geographic origin of short Dialectal (DA) and Modern Standard Arabic (MSA) utterances at the levels of both country and province.
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task
This Shared Task includes four subtasks: country-level Modern Standard Arabic (MSA) identification (Subtask 1. 1), country-level dialect identification (Subtask 1. 2), province-level MSA identification (Subtask 2. 1), and province-level sub-dialect identification (Subtask 2. 2).
Dynamic Multi-scale Convolution for Dialect Identification
yuyq96/d-tdnn
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To address this issue, we propose a new architecture, named dynamic multi-scale convolution, which consists of dynamic kernel convolution, local multi-scale learning, and global multi-scale pooling.
Finnish Dialect Identification: The Effect of Audio and Text
Finnish is a language with multiple dialects that not only differ from each other in terms of accent (pronunciation) but also in terms of morphological forms and lexical choice.
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers
In this work, we introduce three light and fast versions of distilled BERT models for the Romanian language: Distil-BERT-base-ro, Distil-RoBERT-base, and DistilMulti-BERT-base-ro.
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022).
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
Tawkat/Arabic-CL-Benchmark
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Contrastive learning (CL) brought significant progress to various NLP tasks.
FreCDo: A Large Corpus for French Cross-Domain Dialect Identification
We present a novel corpus for French dialect identification comprising 413, 522 French text samples collected from public news websites in Belgium, Canada, France and Switzerland.
Two-stage Pipeline for Multilingual Dialect Detection
ankit-vaidya19/eacl_vardial2023
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Our proposed approach consists of a two-stage system and outperforms other participants' systems and previous works in this domain.
A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model
srijith-rkr/kaust-whisper-adapter
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In this work, we explore Parameter-Efficient-Learning (PEL) techniques to repurpose a General-Purpose-Speech (GSM) model for Arabic dialect identification (ADI).
