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Dialect Identification

Dialectal Arabic Identification

Papers

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Showing 126–150 of 189 papers

TitleStatusHype
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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