SOTAVerified

Language Identification

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

Papers

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Showing 51–75 of 794 papers

TitleStatusHype
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts—0
English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug ReportsCode0
Multi-label Scandinavian Language Identification (SLIDE)Code0
On the use of Performer and Agent Attention for Spoken Language Identification—0
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance—0
Is It Navajo? Accurate Language Detection in Endangered Athabaskan LanguagesCode0
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language UnderstandingCode0
Indonesian-English Code-Switching Speech Synthesizer Utilizing Multilingual STEN-TTS and Bert LID—0
Enhancing Code-Switching ASR Leveraging Non-Peaky CTC Loss and Deep Language Posterior Injection—0
Exploring Facets of Language Generation in the Limit—0
Can adversarial attacks by large language models be attributed?—0
Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages—0
Generation through the lens of learning theory—0
Computational Approaches to Arabic-English Code-Switching—0
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets—0
From N-grams to Pre-trained Multilingual Models For Language IdentificationCode0
Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset—0
AfriHuBERT: A self-supervised speech representation model for African languagesCode0
Improving Multilingual ASR in the Wild Using Simple N-best Re-rankingCode0
Leveraging Open-Source Large Language Models for Native Language Identification—0
Enhancing Code-Switching Speech Recognition with LID-Based Collaborative Mixture of Experts Model—0
Literary and Colloquial Dialect Identification for Tamil using Acoustic Features—0
Towards Generalized Offensive Language Identification—0
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models—0
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR—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