Tsvetana Dimitrova

Tsvetana Dimitrova, PhD, is an Assistant Professor at the Department of Computational Linguistics of the Institute for Bulgarian Language at the Bulgarian Academy of Sciences. Her research is focused on corpus linguistics, historical corpora, corpus annotation, diachronic syntax, lexical semantic networks.

Assist. Prof., PhD Institute for Bulgarian Language, Bulgarian Academy of Sciences, Sofia, Bulgaria
Bulgaria

On Sentence Segmentation in Diachronic Texts

Върху сегментирането на изреченията в диахронните текстове

  • Summary/Abstract

    The article discusses a proposal of a minimal set of criteria for sentence segmentation (an obligatory stage in the corpus processing and annotation, especially with respect to the syntactic annotation) of medieval texts. In the context of a review of different definitions of a sentence (unit) and approaches to sentence segmentation, various criteria are discussed: structural, thematic, graphic, on the basis of sample sentences in order to define the minimal criteria. The discussion of the different factors is illustrated by sample sentences from two texts from 14th and 17th c. The proposed criteria aim at considering mainly structural characteristics while trying to avoid textual and semantic interpretation though these can also present challenges because the interpretation of the (syntactic) structure is inevitably related to the interpretation of the (semantic) content.


Electronic Edition and Linguistic Annotation of Slavic Fragments


The Linguistic Information in the Electronic Corpus of Old Slavonic Texts

  • Summary/Abstract

    Доклад посвящен включению лингвистических данных в электронном корпусе древних славянских текстов. Анализу подвергаются различные современные подходы в этом отношении. Приводятся сведения о форматах, использованных до сих пор в славянской научной традиции, а также делаются параллели с практикой включения языковых данных популярнейших проектов в области электронной обработки современных и древних языков. Подход авторов базирован на технологии языка описательной разметки XML (Extensible Markup Language) и все выводы сделаны на основании этого выбора.


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