Abstract
In the paper, we present some technical issues concerning processing 17th & 18th century texts for the purpose of building a corpus of that period. We describe a chain of procedures leading from transliterated source texts to morphological annotation of text samples that was implemented for building the Baroque Corpus of Polish, a relatively large historical corpus of Polish texts from 17th & 18th c. The described procedure consists of: automatic transliteration from original spelling to modern one, morphological analysis (including the construction of an inflectional dataset for Baroque Polish) and a tool for manual morphosyntactic annotation. The toolchain is being used to create a small manually validated subcorpus, which will serve as training data for a stochastic tagger. Then a larger corpus will be annotated automatically and made available via the Poliqarp corpus search tool.
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Notes
- 1.
The work being reported was co-financed by a National Science Centre, Poland grant DEC-2014/15/B/HS2/03119 and a Ministry of Science and Higher Education National Programme for the Development of Humanities grant 0036/NPRH2/H11/81/2012.
- 2.
Although it is possible to omit the transcription step (either manual or automatic) and operate on transliterated historical texts directly, we have decided to transcribe all texts to standard modern spelling. This allows us to avoid including all possible orthographic variations in the inflectional dictionary, which would be costly in terms of work required and dictionary size. Based on our experiences from other projects we claim that in the case of Polish omitting the transcription step is possible for texts published after 1830, when the spelling rules became more standardized and more similar to modern ones.
- 3.
- 4.
Subsequently this form is changed to jego by another rule.
- 5.
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Kieraś, W., Komosińska, D., Modrzejewski, E., Woliński, M. (2017). Morphosyntactic Annotation of Historical Texts. The Making of the Baroque Corpus of Polish. In: Ekštein, K., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2017. Lecture Notes in Computer Science(), vol 10415. Springer, Cham. https://doi.org/10.1007/978-3-319-64206-2_35
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