@inproceedings{riesa-yarowsky-2006-minimally,
    title = "Minimally Supervised Morphological Segmentation with Applications to Machine Translation",
    author = "Riesa, Jason  and
      Yarowsky, David",
    booktitle = "Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers",
    month = aug # " 8-12",
    year = "2006",
    address = "Cambridge, Massachusetts, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2006.amta-papers.21/",
    pages = "185--192",
    abstract = "Inflected languages in a low-resource setting present a data sparsity problem for statistical machine translation. In this paper, we present a minimally supervised algorithm for morpheme segmentation on Arabic dialects which reduces unknown words at translation time by over 50{\%}, total vocabulary size by over 40{\%}, and yields a significant increase in BLEU score over a previous state-of-the-art phrase-based statistical MT system."
}