SOTAVerified

Language Acquisition

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

Papers

Showing 101150 of 522 papers

TitleStatusHype
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech0
An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions0
Building a Dataset of Multilingual Cognates for the Romanian Lexicon0
Building a learner corpus0
Building a learner corpus for Russian0
Building and using language resources and infrastructure to develop e-learning programs for a minority language0
A Statistical Modeling of the Correlation between Island Effects and Working-memory Capacity for L2 Learners0
Assessment of Non-native Prosody for Spanish as L2 using quantitative scores and perceptual evaluation0
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?0
Can neural networks acquire a structural bias from raw linguistic data?0
A model of generalization in distributional learning of phonetic categories0
CBFC: a parallel L2 speech corpus for Korean and French learners0
Challenging learners in their individual zone of proximal development using pedagogic developmental benchmarks of syntactic complexity0
Characterizing Text Difficulty with Word Frequencies0
Child-directed Listening: How Caregiver Inference Enables Children's Early Verbal Communication0
Children's Acquisition of Tail-recursion Sequences: A Review of Locative Recursion and Possessive Recursion as Examples0
Chinese Grammatical Error Diagnosis System Based on Hybrid Model0
Chinese Native Language Identification0
Applying Feature Underspecified Lexicon Phonological Features in Multilingual Text-to-Speech0
Chromatic transitions in the emergence of syntax networks0
A Memory-Sensitive Classification Model of Errors in Early Second Language Learning0
Classification and Analysis of Neologisms Produced by Learners of Spanish: Effects of Proficiency and Task0
Classifier Stacking for Native Language Identification0
Clausal-Packaging of Path of Motion in Second Language Acquisition of Russian and Spanish0
CLUF: a Neural Model for Second Language Acquisition Modeling0
COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials0
ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning0
A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment0
CTAP: A Web-Based Tool Supporting Automatic Complexity Analysis0
Computational and Robotic Models of Early Language Development: A Review0
A Rudimentary Lexicon and Semantics Help Bootstrap Phoneme Acquisition0
Comprehensive Annotation of Multiword Expressions in a Social Web Corpus0
Comparing Computational Cognitive Models of Generalization in a Language Acquisition Task0
A Report on the 2017 Native Language Identification Shared Task0
Computational Models of Tutor Feedback in Language Acquisition0
Computational simulations of second language construction learning0
Constructing a Family Tree of Ten Indo-European Languages with Delexicalized Cross-linguistic Transfer Patterns0
Assessing the Linguistic Productivity of Unsupervised Deep Neural Networks0
Contextualized Usage-Based Material Selection0
Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL0
Convergence of Syntactic Complexity in Conversation0
Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image0
ALLaM: Large Language Models for Arabic and English0
Correction Annotation for Non-Native Arabic Texts: Guidelines and Corpus0
Could Machine Learning Shed Light on Natural Language Complexity?0
Creating Interactive Macaronic Interfaces for Language Learning0
Crossing the border twice: Reimporting prepositions to alleviate L1-specific transfer errors0
A multimodal corpus for the evaluation of computational models for (grounded) language acquisition0
Cross-linguistically Small World Networks are Ubiquitous in Child-directed Speech0
Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context Based ModelAUC0.82Unverified