SOTAVerified

Language Identification

Language identification is the task of determining the language of a text.

Papers

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Showing 261–270 of 794 papers

TitleStatusHype
Codewithzichao@DravidianLangTech-EACL2021: Exploring Multilingual Transformers for Offensive Language Identification on Code Mixing Text—0
professionals@DravidianLangTech-EACL2021: Malayalam Offensive Language Identification - A Minimalistic Approach—0
MUCS@DravidianLangTech-EACL2021:COOLI-Code-Mixing Offensive Language Identification—0
Simon @ DravidianLangTech-EACL2021: Detecting Offensive Content in Kannada Language—0
HUB@DravidianLangTech-EACL2021: Identify and Classify Offensive Text in Multilingual Code Mixing in Social Media—0
JUNLP@DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Langauges—0
Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada—0
Hypers@DravidianLangTech-EACL2021: Offensive language identification in Dravidian code-mixed YouTube Comments and Posts—0
IRNLP_DAIICT@DravidianLangTech-EACL2021:Offensive Language identification in Dravidian Languages using TF-IDF Char N-grams and MuRIL—0
Offensive language identification in Dravidian code mixed social media text—0
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All datasetsVOXLINGUA107GlotLID-CNordic Language IdentificationOpenSubtitlesUniversal DependenciesVoxForge

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1wav2vec 2.0 LV-60KError rate7.2—Unverified
2XLS-RError rate5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1GlotLIDMacro F10.98—Unverified
#ModelMetricClaimedVerifiedStatus
1FastTextAccuracy0.97—Unverified
#ModelMetricClaimedVerifiedStatus
1Apple bi-LSTMAccuracy91.37—Unverified
#ModelMetricClaimedVerifiedStatus
1Apple bi-LSTMAccuracy86.93—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerG-PAccuracy99.8—Unverified