SOTAVerified

Language Acquisition

Language acquisition refers to tasks related to the learning of a second language.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 522 papers

TitleStatusHype
Jump-Starting Item Parameters for Adaptive Language Tests—0
Knowledge Representation and Extraction at Scale—0
KoKo: an L1 Learner Corpus for German—0
Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words?—0
L1-L2 Parallel Treebank of Learner Chinese: Overused and Underused Syntactic Structures—0
Language Acquisition and Probabilistic Models: keeping it simple—0
Language acquisition: do children and language models follow similar learning stages?—0
A Definition and a Test for Human-Level Artificial Intelligence—0
Language Acquisition is Embodied, Interactive, Emotive: a Research Proposal—0
Language Acquisition through Intention Reading and Pattern Finding—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL—0
Language Learning and Processing in People and Machines—0
Language Models as Models of Language—0
Language Transfer Hypotheses with Linear SVM Weights—0
Large-Scale Native Language Identification with Cross-Corpus Evaluation—0
La transcription phon\'etique au bout des doigts, claviers et polices ergonomiques pour la transcription en API (Phonetic transcription at fingertips, ergonomics keyboards and fonts) [in French]—0
Learnability and Overgeneration in Computational Syntax—0
Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish—0
Learning Functional Distributional Semantics with Visual Data—0
Learning Functional Distributional Semantics with Visual Data—0
Learning grammatical categories using paradigmatic representations: Substitute words for language acquisition—0
Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs—0
Learning Phone Embeddings for Word Segmentation of Child-Directed Speech—0
Learning simulation of nominal/verbal contexts through n-grams (Simulation de l'apprentissage des contextes nominaux/verbaux par n-grammes) [in French]—0
Learning Syntactic Categories Using Paradigmatic Representations of Word Context—0
Learning the hyperparameters to learn morphology—0
Learning Through Transcription—0
Learning to Understand Child-directed and Adult-directed Speech—0
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition—0
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context—0
Learning with learner corpora: Using the TLE for native language identification—0
Learning Word-Like Units from Joint Audio-Visual Analysis—0
L'effet d'aimant perceptif : r\'eponses pr\'eliminaires au d\'ebat entre hypoth\`eses acoustique et cognitive (The Perceptual Magnet Effect: preliminary results on the acoustic vs. cognitive debate) [in French]—0
LELIO: An Auto-Adaptative System to Acquire Domain Lexical Knowledge in Technical Texts—0
Leveraging Open-Source Large Language Models for Native Language Identification—0
Linguistica 5: Unsupervised Learning of Linguistic Structure—0
Linguistically Aware Information Retrieval: Providing Input Enrichment for Second Language Learners—0
Linguistically inspired morphological inflection with a sequence to sequence model—0
Local and non-local dependency learning and emergence of rule-like representations in speech data by Deep Convolutional Generative Adversarial Networks—0
Longitudinal Studies of Variation Sets in Child-directed Speech—0
Machine Learning--Driven Language Assessment—0
Measuring Feature Diversity in Native Language Identification—0
Measuring Grammatical Diversity from Small Corpora: Derivational Entropy Rates, Mean Length of Utterances, and Annotation Invariance—0
Measuring Interlanguage: Native Language Identification with L1-influence Metrics—0
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders—0
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input—0
Missing Generalizations: A Supervised Machine Learning Approach to L2 Written Production—0
Modeling Child Divergences from Adult Grammar—0
Modeling dative alternations of individual children—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context Based ModelAUC0.82—Unverified