Topic: dialect-identification Goto Github
Some thing interesting about dialect-identification
Some thing interesting about dialect-identification
dialect-identification,[Interspeech19] Computational Paralinguistics ChallengE (ComParE)
User: 30stomercury
dialect-identification,A tool that predicts the dialect of English of an SMS message using recurrent neural networks supplemented with data from Google Trends.
User: a-coles
dialect-identification,using AraBert to classify different Arabic dialects. ranked fourth in WANLP2020 workshop.
User: abdelrahman-wael
dialect-identification,VarDial19 shared task: Discriminating between Mainland and Taiwan Variation of Mandarin Chinese (DMT)
User: alexyangli
dialect-identification,A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
Organization: camel-lab
dialect-identification,
User: cristianviorelpopa
dialect-identification,Web interface for far-speech demo to be present in INTERSPEECH 2019
User: disooqi
Home Page: http://farspeech.qcri.org
dialect-identification,This shared task will be the first to target a large set of dialect labels at the city and country levels. The data for the shared task is created or collected under the Multi-Arabic Dialect Applications and Resources (MADAR) project.
User: disooqi
Home Page: https://sites.google.com/view/madar-shared-task/home
dialect-identification,An Arabic Tweet Dialect Classifier
User: eesanoble
dialect-identification,ITDI shared task @ VarDial2022 9th Workshop on NLP for Similar Languages, Varieties and Dialects.
User: giacomocamposampiero
Home Page: https://aclanthology.org/2022.vardial-1.10/
dialect-identification,log MFSC based classification of British English dialects from the IViE(Intonational Variation in English) corpus dataset
User: glado8
dialect-identification,
User: hasanhuz
dialect-identification,Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek
User: hb20007
dialect-identification,This repository contains the Arabic sarcasm dataset (ArSarcasm)
User: iabufarha
dialect-identification,ArSarcasm-v2 is an extension to the original ArSarcasm dataset. It was used for the shared task on sarcasm detection and sentiment analysis, which is a part of WANLP 2021.
User: iabufarha
dialect-identification,TunBERT is the first release of a pre-trained BERT model for the Tunisian dialect using a Tunisian Common-Crawl-based dataset. TunBERT was applied to three NLP downstream tasks: Sentiment Analysis (SA), Tunisian Dialect Identification (TDI) and Reading Comprehension Question-Answering (RCQA)
Organization: instadeepai
dialect-identification,Ríomhchlár a dhéanann aicmiú staitistiúil ar théacsanna Gaeilge de réir a gcanúint
User: kscanne
dialect-identification,Arabic_Dialect_Identification_NLP-AIM-Task
User: mohamedsebaie
dialect-identification,Arabic Dialects Identification
User: motazsaad
dialect-identification,The first Dialectal Arabic Code Switching - DACS corpus from broadcast speech. Annotated at the token-level, considering both the linguistic and the acoustic cues. This dataset is a potential benchmark for DCS in spontaneous speech.
Organization: qcri
dialect-identification,Arabic Dialect Identification on NADI 2020 and QADI datasets
User: salma-jamal
dialect-identification,Language and Speech Technology for Central Kurdish Varieties (LREC-COLING 2024)
User: sinaahmadi
Home Page: https://arxiv.org/ftp/arxiv/papers/2403/2403.01983.pdf
dialect-identification,Dialect identification using Siamese network
User: swshon
dialect-identification,Twitter Dialect Datasets and Classifiers (EG Arabic Corpus)
User: telsahy
dialect-identification,Twitter Dialect Datasets and Classifiers (GULF Arabic Corpus)
User: telsahy
dialect-identification,Twitter Dialect Datasets and Classifiers (EG + GULF Arabic Corpus)
User: telsahy
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