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Dialect Identification

Dialectal Arabic Identification

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Showing 51–100 of 189 papers

TitleStatusHype
Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic—0
Early Guessing for Dialect Identification—0
Distilling the Knowledge of Romanian BERTs Using Multiple TeachersCode0
TunBERT: Pretrained Contextualized Text Representation for Tunisian Dialect—0
Finnish Dialect Identification: The Effect of Audio and TextCode0
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus—0
Vowel-based Meeteilon dialect identification using a Random Forest classifier—0
Oriental Language Recognition (OLR) 2020: Summary and Analysis—0
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis—0
QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus—0
Dialect Identification through Adversarial Learning and Knowledge Distillation on Romanian BERT—0
Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features—0
Findings of the VarDial Evaluation Campaign 2021—0
Naive Bayes-based Experiments in Romanian Dialect Identification—0
Country-level Arabic Dialect Identification Using Small Datasets with Integrated Machine Learning Techniques and Deep Learning Models—0
QADI: Arabic Dialect Identification in the Wild—0
Machine Learning-Based Approach for Arabic Dialect Identification—0
Comparing the Performance of CNNs and Shallow Models for Language IdentificationCode0
Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features—0
UL2C: Mapping User Locations to Countries on Arabic Twitter—0
Comparing Approaches to Dravidian Language Identification—0
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared TaskCode0
Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared TaskCode0
Dialect Identification in Nuanced Arabic Tweets Using Farasa Segmentation and AraBERT—0
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning—0
Exploring the Power of Romanian BERT for Dialect Identification—0
Faheem at NADI shared task: Identifying the dialect of Arabic tweet—0
Arabic dialect identification: An Arabic-BERT model with data augmentation and ensembling strategy—0
A Report on the VarDial Evaluation Campaign 2020—0
Simple vs Oversampling-based Classification Methods for Fine Grained Arabic Dialect Identification in Twitter—0
Experiments in Language Variety Geolocation and Dialect Identification—0
Arabic Dialect Identification Using BERT Fine-TuningCode0
Applying Multilingual and Monolingual Transformer-Based Models for Dialect Identification—0
Dialect Identification under Domain Shift: Experiments with Discriminating Romanian and Moldavian—0
Unsupervised Deep Language and Dialect Identification for Short Texts—0
A dual-encoding system for dialect classificationCode0
LTG-ST at NADI Shared Task 1: Arabic Dialect Identification using a Stacking Classifier—0
Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification—0
Weighted combination of BERT and N-GRAM features for Nuanced Arabic Dialect Identification—0
Identifying Nuanced Dialect for Arabic Tweets with Deep Learning and Reverse Translation Corpus Extension System—0
The QMUL/HRBDT contribution to the NADI Arabic Dialect Identification Shared Task—0
Arabic Dialect Identification Using BERT-Based Domain Adaptation—0
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task—0
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets—0
Automatic Arabic Dialect Identification Systems for Written Texts: A Survey—0
Investigating Machine Learning Methods for Language and Dialect Identification of Cuneiform Texts—0
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect IdentificationCode0
Spoken dialect identification in Twitter using a multi-filter architecture—0
AP20-OLR Challenge: Three Tasks and Their Baselines—0
Arabic Dialect Identification in the Wild—0
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