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Proměna Českého akademického korpusu

100%
Hladka B., Kralik J.
Slovo a slovesnost: časopis pro otázky teorie a kultury jazyka (Slovo a slovesnost: A journal for the theory of language and language cultivation)
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2006
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vol. 67
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issue 3
179-194
EN
The Czech Academic Corpus was created during the 1970s and 1980s at the Czech Language Institute under the supervision of Marie Tesitelova. The main motivation to build it (a total of 540 thousand word tokens) was to obtain the quantitative characteristics of contemporary Czech. The corpus is structurally annotated on two levels - the morphological level and the syntactical-analytical level. The original stochastic experiments in morphological tagging of Czech were performed using the corpus at the beginning of the 1990s. Given this, the corpus-based processing of Czech was launched. At the end of 1990s, work on the Prague Dependency Treebank had started (independently from the corpus) and its first edition was published in 2001. In considering future released versions of the treebank, we have decided to convert the corpus into the treebank-like format. This article focuses on the twenty-year history of the Czech Academic Corpus. Special attention is devoted to thus far unpublished facts about the corpus annotation. The conversion steps resulting in the first version of the Czech Academic Corpus are described in detail.
2

THE ROBOTIC REPORTER IN THE CZECH NEWS AGENCY: AUTOMATED JOURNALISM AND AUGMENTATION IN THE NEWSROOM

63%
MORAVEC V., MACKOVÁ V., SIDO J., EKŠTEIN K.
Communication Today
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2020
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vol. 11
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issue 1
36 – 52
EN
The use of automated journalism, also known as robotic journalism or artificial intelligence journalism, became an established practice in English-speaking countries less than ten years ago. Narrative Science and Automated Insights developed creative software that automatically generates reports. Several media outlets, including The Associated Press (AP), have started to publish their reports. Media landscape barriers based on Slavic languages, such as Czech, have caused some delays in the introduction of automated journalism, or artificial intelligence journalism, in Central and Eastern Europe. This article is a case study of the application of algorithms that transform large data files into news texts in The Czech News Agency (ČTK). A research team led by Charles University provided algorithms generating reports on trading results on the Prague Stock Exchange without human intervention to The Czech News Agency in 2019. The study deals with the production of algorithms and compares the rate of generation of messages generated by humans against algorithms and examines their quality. In our research we also used observations and questionnaire surveys of selected journalists and editors who work with reports from the Prague Stock Exchange. The article also provides the opinions of journalists of The Czech News Agency on the application of automated journalism and artificial intelligence journalism in their newsrooms.
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