SOTAVerified

Language Acquisition

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 522 papers

TitleStatusHype
COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials—0
ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning—0
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment—0
CTAP: A Web-Based Tool Supporting Automatic Complexity Analysis—0
Computational and Robotic Models of Early Language Development: A Review—0
A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition—0
Comprehensive Annotation of Multiword Expressions in a Social Web Corpus—0
Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task—0
A Report on the 2017 Native Language Identification Shared Task—0
Computational Models of Tutor Feedback in Language Acquisition—0
Computational simulations of second language construction learning—0
Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns—0
Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks—0
Contextualized Usage-Based Material Selection—0
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL—0
Convergence of Syntactic Complexity in Conversation—0
Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image—0
ALLaM: Large Language Models for Arabic and English—0
Correction Annotation for Non-Native Arabic Texts: Guidelines and Corpus—0
Could Machine Learning Shed Light on Natural Language Complexity?—0
Creating Interactive Macaronic Interfaces for Language Learning—0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors—0
A multimodal corpus for the evaluation of computational models for (grounded) language acquisition—0
Cross-linguistically Small World Networks are Ubiquitous in Child-directed Speech—0
Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context Based ModelAUC0.82—Unverified