@inproceedings{zeldes-2018-characterwise,
    title = "A Characterwise Windowed Approach to {H}ebrew Morphological Segmentation",
    author = "Zeldes, Amir",
    editor = "Kuebler, Sandra  and
      Nicolai, Garrett",
    booktitle = "Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = oct,
    year = "2018",
    address = "Brussels, Belgium",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/W18-5811/",
    doi = "10.18653/v1/W18-5811",
    pages = "101--110",
    abstract = "This paper presents a novel approach to the segmentation of orthographic word forms in contemporary Hebrew, focusing purely on splitting without carrying out morphological analysis or disambiguation. Casting the analysis task as character-wise binary classification and using adjacent character and word-based lexicon-lookup features, this approach achieves over 98{\%} accuracy on the benchmark SPMRL shared task data for Hebrew, and 97{\%} accuracy on a new out of domain Wikipedia dataset, an improvement of {\ensuremath{\approx}}4{\%} and 5{\%} over previous state of the art performance."
}