Can a Neural Model Guide Fieldwork? A Case Study on Morphological Inflection
<|reference_start|>Can a Neural Model Guide Fieldwork? A Case Study on Morphological Inflection: Linguistic fieldwork is an important component in language documentation and preservation. However, it is a long, exhaustive, and time-consuming process. This paper presents a novel model that guides a linguist during the fieldwork and accounts for the dynamics of linguist-speaker interactions. We introduce a novel framework that evaluates the efficiency of various sampling strategies for obtaining morphological data and assesses the effectiveness of state-of-the-art neural models in generalising morphological structures. Our experiments highlight two key strategies for improving the efficiency: (1) increasing the diversity of annotated data by uniform sampling among the cells of the paradigm tables, and (2) using model confidence as a guide to enhance positive interaction by providing reliable predictions during annotation.<|reference_end|>
@article{mahmudi2024can,
    title={Can a Neural Model Guide Fieldwork? A Case Study on Morphological
  Inflection},
    author={Aso Mahmudi, Borja Herce, Demian Inostroza Amestica, Andreas
  Scherbakov, Eduard Hovy, Ekaterina Vylomova},
    journal={arXiv preprint arXiv:2409.14628},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.14628},
    primaryClass={cs.CL}
}