Elektroniczny Korpustekstów Polskich Z Xvii I Xviii W.– Problemy Teoretyczne I Warsztatowe
Bibliographic Data
| ID | 19176017 |
|---|---|
| Authors | Włodzimierz Gruszczyński (0000-0001-9406-1354, corresponding author), Dorota Adamiec (0000-0001-8179-038X), Renata Bronikowska (0000-0001-9000-5355, The Institute of the Polish Language of the Polish Academy of Sciences), Aleksandra Wieczorek (0000-0002-8829-559X) |
| Year | 2020 |
| Issue | 8/2020(777) |
| Pages | 32-51 |
| Publication date | 2020-10-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Poradnik Językowy (JOURNAL) |
| Journal identifiers | ISSN: 0551-5343 |
| Publisher | ELIPSA Dom Wydawniczy i Handlowy (PUBLISHER) |
| DOI | 10.33896/porj.2020.8.3 |
| OpenAlex | W3132243946 |
| Language | PL |
| Citations received | 1 |
| References cited | 1 |
Electronic Corpus of 17th- and 18th-century Polish Texts – theoretical and workshop problems Summary This paper presents the Electronic Corpus of 17th- and 18th-century Polish Texts (KorBa) – a large (13.5-million), annotated historical corpus available online. Its creation was modelled on the assumptions of the National Corpus of Polish (NKJP), yet the specifi c nature of the historical material enforced certain modifi cations of the solutions applied in NKJP, e.g. two forms of text representation (transliteration and transcription) were introduced, the principle of designating foreign-language fragments was adopted, and the tagset was adapted to the description of the grammatical structure of the Middle Polish language. The texts collected in KorBa are diversified in chronological, geographical, stylistic, and thematic terms although, due to e.g. limited access to the material, the postulate of representativeness and sustainability of the corpus was not fully implemented. The work on the corpus was to a large extent automated as a result of using natural language processing tools. Keywords: electronic text corpus – historical corpus – 17th-18th-century Polish – natural language processing
Corpus linguistics · Linguistics · Natural language processing · Political science · Politics · Representativeness heuristic · Text corpus · Transliteration · Computer Science · Language and Culture · Literature, Language, and Rhetoric Studies · Mathematics · Philosophy · Artificial Intelligence
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |