@inproceedings{osenova-simov-2017-bulgarian,
    title = "{B}ulgarian-{E}nglish and {E}nglish-{B}ulgarian Machine Translation: System Design and Evaluation",
    author = "Osenova, Petya  and
      Simov, Kiril",
    editor = "Mitkov, Ruslan  and
      Angelova, Galia",
    booktitle = "Proceedings of the International Conference Recent Advances in Natural Language Processing, {RANLP} 2017",
    month = sep,
    year = "2017",
    address = "Varna, Bulgaria",
    publisher = "INCOMA Ltd.",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/R17-1073/",
    doi = "10.26615/978-954-452-049-6_073",
    pages = "561--568",
    abstract = "The paper presents a deep factored machine translation (MT) system between English and Bulgarian languages in both directions. The MT system is hybrid. It consists of three main steps: (1) the source-language text is linguistically annotated, (2) it is translated to the target language with the Moses system, and (3) translation is post-processed with the help of the transferred linguistic annotation from the source text. Besides automatic evaluation we performed manual evaluation over a domain test suite of sentences demonstrating certain phenomena like imperatives, questions, etc."
}