SOTAVerified

Language Identification

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

Papers

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Showing 401–450 of 794 papers

TitleStatusHype
From Visualisation to Hypothesis Construction for Second Language Acquisition—0
Fully Connected Neural Network with Advance Preprocessor to Identify Aggression over Facebook and Twitter—0
Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability—0
Fusion of Simple Models for Native Language Identification—0
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification using Pre-trained Language Models—0
Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media—0
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System—0
Generation through the lens of learning theory—0
Generative linguistic representation for spoken language identification—0
GlobalPhone: Pronunciation Dictionaries in 20 Languages—0
GLUECoS : An Evaluation Benchmark for Code-Switched NLP—0
GLUECoS: An Evaluation Benchmark for Code-Switched NLP—0
HAD-T\"ubingen at SemEval-2019 Task 6: Deep Learning Analysis of Offensive Language on Twitter: Identification and Categorization—0
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer—0
HeLI-based Experiments in Discriminating Between Dutch and Flemish Subtitles—0
HeLI-based Experiments in Swiss German Dialect Identification—0
HeLI-OTS, Off-the-shelf Language Identifier for Text—0
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo—0
Hindi-English Code-Switching Speech Corpus—0
Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing—0
HUB@DravidianLangTech-EACL2021: Identify and Classify Offensive Text in Multilingual Code Mixing in Social Media—0
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition—0
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru forSpeech Recognition—0
Hypers@DravidianLangTech-EACL2021: Offensive language identification in Dravidian code-mixed YouTube Comments and Posts—0
iCompass at SemEval-2020 Task 12: From a Syntax-ignorant N-gram Embeddings Model to a Deep Bidirectional Language Model—0
Identification of Indian Languages using Ghost-VLAD pooling—0
Identification of Languages in Algerian Arabic Multilingual Documents—0
Identification/Segmentation of Indian Regional Languages with Singular Value Decomposition based Feature Embedding—0
Identifying Languages at the Word Level in Code-Mixed Indian Social Media Text—0
IIITG-ADBU at SemEval-2020 Task 12: Comparison of BERT and BiLSTM in Detecting Offensive Language—0
IIT (BHU) System for Indo-Aryan Language Identification (ILI) at VarDial 2018—0
IITP-AINLPML at SemEval-2020 Task 12: Offensive Tweet Identification and Target Categorization in a Multitask Environment—0
(Im)possibility of Automated Hallucination Detection in Large Language Models—0
Improved Language Identification Through Cross-Lingual Self-Supervised Learning—0
Improving Cuneiform Language Identification with BERT—0
Improving Informally Romanized Language Identification—0
Improving Language Identification for Multilingual Speakers—0
Improving Language Identification of Accented Speech—0
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking—0
Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC—0
Improving Native Language Identification by Using Spelling Errors—0
Improving Native Language Identification with TF-IDF Weighting—0
Improving the accuracy of pronunciation lexicon using Naive Bayes classifier with character n-gram as feature: for language classified pronunciation lexicon generation—0
Improving the Character Ngram Model for the DSL Task with BM25 Weighting and Less Frequently Used Feature Sets—0
Improving the exploitation of linguistic annotations in ELAN—0
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set—0
Incorporating Dialectal Variability for Socially Equitable Language Identification—0
Incremental N-gram Approach for Language Identification in Code-Switched Text—0
Indonesian-English Code-Switching Speech Synthesizer Utilizing Multilingual STEN-TTS and Bert LID—0
Influence of Mother Tongue on English Accent—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