SOTAVerified

Language Acquisition

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

Papers

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Showing 51–75 of 522 papers

TitleStatusHype
A Computational Acquisition Model for Multimodal Word CategorizationCode0
Ling-CL: Understanding NLP Models through Linguistic CurriculaCode0
Generating novel experimental hypotheses from language models: A case study on cross-dative generalizationCode0
From Babble to Words: Pre-Training Language Models on Continuous Streams of PhonemesCode0
Evaluating Neural Language Models as Cognitive Models of Language AcquisitionCode0
Neural Network Acceptability JudgmentsCode0
Predicting and Explaining Human Semantic Search in a Cognitive ModelCode0
From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language AcquisitionCode0
Second Language Acquisition of Neural Language ModelsCode0
Applying Phonological Features in Multilingual Text-To-SpeechCode0
Semantic Structure-Mapping in LLM and Human Analogical ReasoningCode0
Semi-automated typical error annotation for learner English essays: integrating frameworksCode0
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child InteractionsCode0
Deep Factorization Machines for Knowledge TracingCode0
Color Overmodification Emerges from Data-Driven Learning and Pragmatic ReasoningCode0
Context Based Approach for Second Language AcquisitionCode0
Deep Factorization Machines for Knowledge TracingCode0
Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information DietsCode0
Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed SpeechCode0
ChiSense-12: An English Sense-Annotated Child-Directed Speech CorpusCode0
A study of N-gram and Embedding Representations for Native Language IdentificationCode0
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression ModelingCode0
A Trainable Spaced Repetition Model for Language LearningCode0
Evaluating the Acquisition of Semantic Knowledge from Cross-situational Learning in Artificial Neural NetworksCode0
Babysit A Language Model From Scratch: Interactive Language Learning by Trials and DemonstrationsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context Based ModelAUC0.82—Unverified