@inproceedings{ishii-miyao-2025-incremental,
    title = "Is Incremental Structure Prediction Process Universal across Languages?: Revisiting Parsing Strategy through Speculation",
    author = "Ishii, Taiga  and
      Miyao, Yusuke",
    editor = "Boleda, Gemma  and
      Roth, Michael",
    booktitle = "Proceedings of the 29th Conference on Computational Natural Language Learning",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/acl25-workshop-ingestion/2025.conll-1.29/",
    pages = "437--451",
    ISBN = "979-8-89176-271-8",
    abstract = "While natural language is processed incrementally, it is unclear whether the syntactic structure prediction process is universal across languages or language-specific. This study investigates this question by revisiting parsing strategies of syntactic language models that incrementally predict both the next token and the associated syntactic structure. Unlike previous studies that have focused on a few strategies, we examine a wide range of strategies by introducing different parameterizations of ``speculation'', which quantifies the degree to which a model predicts syntactic structure before encountering the corresponding tokens. The experiments with 10 typologically diverse languages reveal that the optimal strategy differs depending on the language and the beam size."
}