SOTAVerified

Language Identification

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

Papers

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Showing 226–250 of 794 papers

TitleStatusHype
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification—0
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed TextCode1
SpeechBrain: A General-Purpose Speech ToolkitCode1
SIGTYP 2021 Shared Task: Robust Spoken Language Identification—0
Active learning and negative evidence for language identification—0
Self-Contextualized Attention for Abusive Language Identification—0
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar—0
Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get?—0
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification—0
Language ID Prediction from Speech Using Self-Attentive Pooling—0
Data Filtering using Cross-Lingual Word Embeddings—0
Singing Language Identification using a Deep Phonotactic ApproachCode0
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions—0
An Exploratory Analysis of the Relation Between Offensive Language and Mental Health—0
Multilingual Offensive Language Identification for Low-resource Languages—0
Cross-Corpora Language Recognition: A Preliminary Investigation with Indian Languages—0
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate UsersCode1
Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions—0
IIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and KannadaCode0
BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification—0
Optimizing a Supervised Classifier for a Difficult Language Identification Problem—0
Findings of the VarDial Evaluation Campaign 2021—0
N-gram and Neural Models for Uralic Language Identification: NRC at VarDial 2021—0
Comparing the Performance of CNNs and Shallow Models for Language IdentificationCode0
Simon @ DravidianLangTech-EACL2021: Detecting Offensive Content in Kannada Language—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