@inproceedings{stambolieva-2019-corpus,
    title = "Corpus Linguistics, Translation and Error Analysis",
    author = "Stambolieva, Maria",
    booktitle = "Proceedings of the Human-Informed Translation and Interpreting Technology Workshop (HiT-IT 2019)",
    month = sep,
    year = "2019",
    address = "Varna, Bulgaria",
    publisher = "Incoma Ltd., Shoumen, Bulgaria",
    url = "https://preview.aclanthology.org/fix-sig-urls/W19-8712/",
    doi = "10.26615/issn.2683-0078.2019_012",
    pages = "98--104",
    abstract = "The paper presents a study of the French Imparfait and its functional equivalents in Bulgarian and English in view of applications in machine translation and error analysis. The aims of the study are: 1/ based on the analysis of a corpus of text, to validate/revise earlier research on the values of the French Imparfait, 2/ to define the contextual factors pointing to the realisation of one or another value of the forms, 3/ based on the analysis of aligned translations, to identify the translation equivalents of these values, 4/ to formulate translation rules, 5/ based on the analysis of the translation rules, to refine the annotation modules of the environment used {--} the NBU e-Platform for language teaching and research."
}