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Dialect Identification

Dialectal Arabic Identification

Papers

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Showing 101–150 of 189 papers

TitleStatusHype
Text and Speech-based Tunisian Arabic Sub-Dialects Identification—0
Habibi - a multi Dialect multi National Arabic Song Lyrics Corpus—0
LSTM-TDNN with convolutional front-end for Dialect Identification in the 2019 Multi-Genre Broadcast Challenge—0
DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect—0
Building a Speech Corpus based on Arabic Podcasts for Language and Dialect Identification—0
Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features—0
ArbDialectID at MADAR Shared Task 1: Language Modelling and Ensemble Learning for Fine Grained Arabic Dialect Identification—0
Hierarchical Deep Learning for Arabic Dialect Identification—0
LIUM-MIRACL Participation in the MADAR Arabic Dialect Identification Shared Task—0
The SMarT Classifier for Arabic Fine-Grained Dialect Identification—0
No Army, No Navy: BERT Semi-Supervised Learning of Arabic Dialects—0
JHU System Description for the MADAR Arabic Dialect Identification Shared Task—0
ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects—0
A Character Level Convolutional BiLSTM for Arabic Dialect Identification—0
Arabic Dialect Identification for Travel and Twitter Text—0
The MADAR Shared Task on Arabic Fine-Grained Dialect Identification—0
Mawdoo3 AI at MADAR Shared Task: Arabic Fine-Grained Dialect Identification with Ensemble Learning—0
Mawdoo3 AI at MADAR Shared Task: Arabic Tweet Dialect Identification—0
MICHAEL: Mining Character-level Patterns for Arabic Dialect Identification (MADAR Challenge)—0
Team JUST at the MADAR Shared Task on Arabic Fine-Grained Dialect Identification—0
ST MADAR 2019 Shared Task: Arabic Fine-Grained Dialect Identification—0
Simple But Not Na\" : Fine-Grained Arabic Dialect Identification Using Only N-Grams—0
QC-GO Submission for MADAR Shared Task: Arabic Fine-Grained Dialect Identification—0
A Report on the Third VarDial Evaluation Campaign—0
BAM: A combination of deep and shallow models for German Dialect Identification.—0
TwistBytes - Identification of Cuneiform Languages and German Dialects at VarDial 2019—0
Discriminating between Mandarin Chinese and Swiss-German varieties using adaptive language models—0
ADIDA: Automatic Dialect Identification for Arabic—0
Naive Bayes and BiLSTM Ensemble for Discriminating between Mainland and Taiwan Variation of Mandarin Chinese—0
Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation—0
Language Discrimination and Transfer Learning for Similar Languages: Experiments with Feature Combinations and Adaptation—0
Modeling Global Syntactic Variation in English Using Dialect Classification—0
Language Model Adaptation for Language and Dialect Identification of Text—0
A Multilingual Encoding Method for Text Classification and Dialect Identification Using Convolutional Neural Network—0
Language and Dialect Identification of Cuneiform Texts—0
A Deep Learning Approach for Similar Languages, Varieties and Dialects—0
Domain Attentive Fusion for End-to-end Dialect Identification with Unknown Target Domain—0
Unsupervised Representation Learning of Speech for Dialect Identification—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
MADARi: A Web Interface for Joint Arabic Morphological Annotation and Spelling Correction—0
Classifier Ensembles for Dialect and Language Variety Identification—0
Fine-Grained Arabic Dialect Identification—0
Neural Network Architectures for Arabic Dialect Identification—0
Character Level Convolutional Neural Network for Arabic Dialect Identification—0
Character Level Convolutional Neural Network for German Dialect Identification—0
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign—0
Deep Models for Arabic Dialect Identification on Benchmarked Data—0
HeLI-based Experiments in Swiss German Dialect Identification—0
Birzeit Arabic Dialect Identification System for the 2018 VarDial Challenge—0
T\"ubingen-Oslo Team at the VarDial 2018 Evaluation Campaign: An Analysis of N-gram Features in Language Variety Identification—0
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