SOTAVerified

Language Identification

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

Papers

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Showing 601–650 of 794 papers

TitleStatusHype
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties—0
Language and Dialect Discrimination Using Compression-Inspired Language Models—0
Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task—0
Experimental Study of Vowels in Nagamese, Ao and Lotha: Languages of Nagaland—0
HeLI, a Word-Based Backoff Method for Language IdentificationCode0
Automatic Detection of Arabicized Berber and Arabic Varieties—0
Subdialectal Differences in Sorani Kurdish—0
ASIREM Participation at the Discriminating Similar Languages Shared Task 2016—0
Discriminating Similar Languages with Linear SVMs and Neural Networks—0
Vanilla Classifiers for Distinguishing between Similar Languages—0
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts—0
Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks—0
Romanized Berber and Romanized Arabic Automatic Language Identification Using Machine Learning—0
An Unsupervised Morphological Criterion for Discriminating Similar Languages—0
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance—0
Multi-Language Identification Using Convolutional Recurrent Neural Network—0
Part-of-speech Tagging of Code-mixed Social Media Content: Pipeline, Stacking and Joint Modelling—0
The Howard University System Submission for the Shared Task in Language Identification in Spanish-English Codeswitching—0
A Neural Model for Language Identification in Code-Switched Tweets—0
Word-Level Language Identification and Predicting Codeswitching Points in Swahili-English Language Data—0
Codeswitching language identification using Subword Information Enriched Word Vectors—0
Part-of-speech Tagging of Code-Mixed Social Media Text—0
Language Identification in Code-Switched Text Using Conditional Random Fields and Babelnet—0
Multilingual Code-switching Identification via LSTM Recurrent Neural Networks—0
Accurate Pinyin-English Codeswitched Language Identification—0
Columbia-Jadavpur submission for EMNLP 2016 Code-Switching Workshop Shared Task: System description—0
Simple Tools for Exploring Variation in Code-switching for Linguists—0
Building a learner corpus for Russian—0
Fluency detection on communication networks—0
Challenges of Computational Processing of Code-Switching—0
Spoken Language Identification with Phonotactics Methods on Minangkabau, Sundanese, and Javanese Languages—0
Byte-based Language Identification with Deep Convolutional Networks—0
Do Characters Abuse More Than Words?—0
String Kernels for Native Language Identification: Insights from Behind the Curtains—0
Demographic Dialectal Variation in Social Media: A Case Study of African-American English—0
Hierarchical Character-Word Models for Language IdentificationCode0
The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task—0
Babler - Data Collection from the Web to Support Speech Recognition and Keyword Search—0
Code-Switching Ubique Est - Language Identification and Part-of-Speech Tagging for Historical Mixed Text—0
Automatic discovery of Latin syntactic changes—0
Automatic Detection of Intra-Word Code-Switching—0
Part of Speech Annotation of a Turkish-German Code-Switching Corpus—0
Labeling of Query Words using Conditional Random Field—0
Leveraging Data-Driven Methods in Word-Level Language Identification for a Multilingual Alpine Heritage Corpus—0
Distinguishing Literal and Non-Literal Usage of German Particle Verbs—0
Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text—0
A Turkish-German Code-Switching Corpus—0
Speech Synthesis of Code-Mixed Text—0
A Semisupervised Approach for Language Identification based on Ladder NetworksCode0
Visual Script and Language Identification—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