Language Acquisition
68 papers with code • 1 benchmarks • 6 datasets
Language acquisition refers to tasks related to the learning of a second language.
Benchmarks
These leaderboards are used to track progress in Language Acquisition
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Libraries
Use these libraries to find Language Acquisition models and implementationsDatasets
BLiMP
Duolingo SLAM Shared Task
Duolingo Spaced Repetition Data
New Brown Corpus
BabySLM
Latest papers with no code
Project MOSLA: Recording Every Moment of Second Language Acquisition
Second language acquisition (SLA) is a complex and dynamic process.
Emergent communication and learning pressures in language models: a language evolution perspective
Based on a short literature review, we identify key pressures that have recovered initially absent human patterns in emergent communication models: communicative success, efficiency, learnability, and other psycho-/sociolinguistic factors.
Automatic Annotation of Grammaticality in Child-Caregiver Conversations
The acquisition of grammar has been a central question to adjudicate between theories of language acquisition.
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
In Emergent Communication (EC) agents learn to communicate with one another, but the protocols that they develop are specialised to their training community.
SALAD: Smart AI Language Assistant Daily
SALAD is an AI-driven language-learning application designed to help foreigners learn Japanese.
A Philosophical Introduction to Language Models -- Part I: Continuity With Classic Debates
Large language models like GPT-4 have achieved remarkable proficiency in a broad spectrum of language-based tasks, some of which are traditionally associated with hallmarks of human intelligence.
Review of Unsupervised POS Tagging and Its Implications on Language Acquisition
The identified themes pave the way for future investigations into the cognitive processes that underpin the acquisition of syntactic categories and provide a useful layout of current state of the art unsupervised POS tagging models.
Native Language Identification with Large Language Models
We present the first experiments on Native Language Identification (NLI) using LLMs such as GPT-4.
@ve: A Chatbot for Latin
The chatbot @ve, with which one can communicate in Latin, was developed in 2022/2023 based on GPT-3. 0.
Pre-training LLMs using human-like development data corpus
Pre-trained Large Language Models (LLMs) have shown success in a diverse set of language inference and understanding tasks.
