@article{mansouri-bigvand-etal-2017-joint,
    title = "Joint Prediction of Word Alignment with Alignment Types",
    author = "Mansouri Bigvand, Anahita  and
      Bu, Te  and
      Sarkar, Anoop",
    editor = "Lee, Lillian  and
      Johnson, Mark  and
      Toutanova, Kristina",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "5",
    year = "2017",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/Q17-1035/",
    doi = "10.1162/tacl_a_00076",
    pages = "501--514",
    abstract = "Current word alignment models do not distinguish between different types of alignment links. In this paper, we provide a new probabilistic model for word alignment where word alignments are associated with linguistically motivated alignment types. We propose a novel task of joint prediction of word alignment and alignment types and propose novel semi-supervised learning algorithms for this task. We also solve a sub-task of predicting the alignment type given an aligned word pair. In our experimental results, the generative models we introduce to model alignment types significantly outperform the models without alignment types."
}