SOTAVerified

Language Identification

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

Papers

Showing 226250 of 794 papers

TitleStatusHype
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labelingCode0
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and PostsCode0
A Dual-Decoder Conformer for Multilingual Speech Recognition0
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification0
OLR 2021 Challenge: Datasets, Rules and Baselines0
Improved Language Identification Through Cross-Lingual Self-Supervised Learning0
Oriental Language Recognition (OLR) 2020: Summary and Analysis0
Language Identification of Hindi-English tweets using code-mixed BERT0
Language Lexicons for Hindi-English Multilingual Text Processing0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text0
BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification0
SIGTYP 2021 Shared Task: Robust Spoken Language Identification0
Self-Contextualized Attention for Abusive Language Identification0
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification0
Data Filtering using Cross-Lingual Word Embeddings0
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar0
Active learning and negative evidence for language identification0
Language ID Prediction from Speech Using Self-Attentive Pooling0
Much Gracias: Semi-supervised Code-switch Detection for Spanish-English: How far can we get?0
Singing Language Identification using a Deep Phonotactic ApproachCode0
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions0
An Exploratory Analysis of the Relation Between Offensive Language and Mental Health0
Multilingual Offensive Language Identification for Low-resource Languages0
Cross-Corpora Language Recognition: A Preliminary Investigation with Indian Languages0
Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions0
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Benchmark Results

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