A Framework for Representing Language Acquisition in a Population Setting (P18-1)

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Challenge: Existing approaches to model language acquisition and social structure are ineffective because nobody can travel back in time or fit entire natural environments into a lab.
Approach: They propose a new analytic framework which combines previous network models' ability to capture realistic social structure with more elegant computational properties.
Outcome: The proposed framework is able to capture real social structure and integrate with existing models while being modular and extensible.

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Challenge: This tutorial introduces different stages of language acquisition and their parallel problems in NLP.
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Challenge: Existing computational studies of child language acquisition focus on isolated mechanisms, such as spreading activation in retrieval, sentence planning, or production efficiency.
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Challenge: a longitudinal study of online social networks investigates the birth and spread of lexical innovations.
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Measuring and Modeling Language Change (N19-5)

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Nature-Inspired Population-Based Evolution of Large Language Models (2026.acl-long)

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Challenge: Usage-based theories of language acquisition have documented the processes by which children acquire language through communicative interaction.
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Modeling language evolution and feature dynamics in a realistic geographic environment (2020.coling-main)

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Challenge: a number of studies have examined the stability or biases of typological features within language families .
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Word Acquisition in Neural Language Models (2022.tacl-1)

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Challenge: Language models acquire individual words during training, based on unigram token frequencies, before transitioning loosely to bigram probabilities, eventually converging on more nuanced predictions.
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Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition (2023.acl-long)

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Emergent Linguistic Phenomena in Multi-Agent Communication Games (D19-1)

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Challenge: a recent study examines the behavior of linguistic agents in a community-level setting . a linguistic continuum emerges where neighboring languages are more mutually intelligible than farther removed ones .
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