The paper presents the main language technology components that are necessary for supporting the investigations within the digital humanities with a focus on the culture of giving for education. This domain is socially significant and covers various historical periods. It also takes into consideration the social position of the givers, their gender and the type of the giving act (last posthumous will or financial support in one’s lifetime). The survey describes the adaptation of the NLP tools to the task as well as the various ways for improving the targeted extraction from the specially designed corpus of texts related to giving. The main challenge was the language variety caused by the big time span of the texts (80-100 years). We provided two initial instruments for targeted information extraction: statistics with ranked word occurrences and content analysis. Even in this preliminary stage the provided technology proved out to be very useful for our colleagues in sociology, cultural and educational studies.
Bulgarian Language Technology,
Processing different codifications of contemporary Bulgarian,
Linked Open Data of Biographical Data
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