SOTAVerified

Language Acquisition

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 522 papers

TitleStatusHype
Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs—0
Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scoring—0
Shallow Semantic Analysis of Interactive Learner Sentences—0
SIGMORPHON–UniMorph 2022 Shared Task 0: Modeling Inflection in Language Acquisition—0
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT—0
Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas—0
Spanish Resource Grammar version 2023—0
Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction—0
Spectral Unsupervised Parsing with Additive Tree Metrics—0
Speeding up corpus development for linguistic research: language documentation and acquisition in Romansh Tuatschin—0
Studying the Effect of Input Size for Bayesian Word Segmentation on the Providence Corpus—0
Syllables as Linguistic Units?—0
Syllable weight encodes mostly the same information for English word segmentation as dictionary stress—0
Synergies in learning words and their referents—0
Synonym Replacement based on a Study of Basic-level Nouns in Swedish Texts of Different Complexity—0
Syntactic Structure from Deep Learning—0
Systematic Review for AI-based Language Learning Tools—0
Text Modification for Bulgarian Sign Language Users—0
Textual Features Indicative of Writing Proficiency in Elementary School Spanish Documents—0
The ACQDIV Corpus Database and Aggregation Pipeline—0
The ACQDIV Database: Min(d)ing the Ambient Language—0
The AnnCor CHILDES Treebank—0
The Architecture of a Biologically Plausible Language Organ—0
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations—0
The Compreno Semantic Model as Integral Framework for Multilingual Lexical Database—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context Based ModelAUC0.82—Unverified