SIGNLL invites submissions to the 28th Conference on Computational Natural Language Learning (CoNLL 2024). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include:

    Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP
    Models of first, second and bilingual language acquisition by humans
    Models of sign language acquisition, understanding, and production
    Models of language evolution and change
    Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments
    Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods
    Data resources, techniques and tools for scientifically-oriented research in computational linguistics
    Connections between computational models and formal languages or linguistic theories
    Linguistic typology, translation, and other multilingual work
    Theoretically, cognitively and scientifically motivated approaches to text generation

We welcome work targeting any aspect of language, including:

    Speech and phonology
    Syntax and morphology
    Lexical, compositional and discourse semantics
    Dialogue and interactive language use
    Sociolinguistics
    Multimodal and grounded language learning