SOTAVerified

Language Acquisition

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 522 papers

TitleStatusHype
Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation—0
Grounding language acquisition by training semantic parsers using captioned videos—0
Is this Sentence Difficult? Do you Agree?—0
An Encoder-Decoder Approach to the Paradigm Cell Filling ProblemCode0
Learning Latent Semantic Annotations for Grounding Natural Language to Structured DataCode0
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?—0
What can linguistics and deep learning contribute to each other?—0
Native Language Identification With Classifier Stacking and Ensembles—0
Gold Standard Annotations for Preposition and Verb Sense with Semantic Role Labels in Adult-Child InteractionsCode0
Investigating Productive and Receptive Knowledge: A Profile for Second Language Learning—0
An OpenNMT Model to Arabic Broken Plurals—0
Measuring language distance among historical varieties using perplexity. Application to European Portuguese.Code0
Exploring word embeddings and phonological similarity for the unsupervised correction of language learner errors—0
A Gold Standard to Measure Relative Linguistic Complexity with a Grounded Language Learning Model—0
Knowledge Representation and Extraction at Scale—0
Chromatic transitions in the emergence of syntax networks—0
Predicting Perceived Age: Both Language Ability and Appearance are Important—0
Textual Features Indicative of Writing Proficiency in Elementary School Spanish Documents—0
A Framework for Representing Language Acquisition in a Population Setting—0
Second Language Acquisition Modeling: An Ensemble Approach—0
COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials—0
CLUF: a Neural Model for Second Language Acquisition Modeling—0
Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models—0
Predicting Second Language Learner Successes and Mistakes by Means of Conjunctive Features—0
Generating Feedback for English Foreign Language Exercises—0
Neural sequence modelling for learner error prediction—0
Feature Engineering for Second Language Acquisition Modeling—0
Modeling Second-Language Learning from a Psychological Perspective—0
TMU System for SLAM-2018Code0
Automatic Input Enrichment for Selecting Reading Material: An Online Study with English Teachers—0
Second Language Acquisition Modeling—0
Deep Factorization Machines for Knowledge TracingCode0
Context Based Approach for Second Language AcquisitionCode0
A Memory-Sensitive Classification Model of Errors in Early Second Language Learning—0
Using Classifier Features to Determine Language Transfer on Morphemes—0
Towards Understanding Text Factors in Oral Reading—0
Neural Network Acceptability JudgmentsCode0
Like a Baby: Visually Situated Neural Language Acquisition—0
Word learning and the acquisition of syntactic--semantic overhypotheses—0
Revita: a Language-learning Platform at the Intersection of ITS and CALL—0
The AnnCor CHILDES Treebank—0
Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis—0
L1-L2 Parallel Treebank of Learner Chinese: Overused and Underused Syntactic Structures—0
BabyCloud, a Technological Platform for Parents and Researchers—0
Error annotation in a Learner Corpus of Portuguese—0
Cross-linguistically Small World Networks are Ubiquitous in Child-directed Speech—0
The Use of Text Alignment in Semi-Automatic Error Analysis: Use Case in the Development of the Corpus of the Latvian Language Learners—0
Korean L2 Vocabulary Prediction: Can a Large Annotated Corpus be Used to Train Better Models for Predicting Unknown Words?—0
Transc\&Anno: A Graphical Tool for the Transcription and On-the-Fly Annotation of Handwritten Documents—0
CBFC: a parallel L2 speech corpus for Korean and French learners—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context Based ModelAUC0.82—Unverified