en:cnk:orator - Příručka ČNK

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====== Corpus of monologues: ORATOR ======

The ORATOR corpus contains monologues by native Czech speakers. The typical situations include a lecture, instruction, guided tour, welcome address, sermon etc. The speech is usually prepared and the speaker has to fit within the given time frame. To our knowledge, there is no corpus with this kind of data available for Czech.

Transcription rules, linking to the corresponding audio track and most metadata follow the [[en:cnk:ortofon|ORTOFON]] and [[en:cnk:oral|ORAL]] corpora, structural attributes used in ORATOR are described [[pojmy:atributy_strukturni|here]] (Czech only). The corpus is [[en:cnk:lemtag_mluv|lemmatized and morphologically tagged]] in the same way as the ORAL and ORTOFON corpora. The corpus is not balanced in any way.

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^ <fs medium>Name</fs> | <fs medium>[[cnk:orator|ORATOR]]•v1</fs> | <fs medium>[[cnk:orator|ORATOR]]•v2</fs> | <fs medium>[[cnk:orator|ORATOR]]•v3</fs> |
^ Number of [[pojmy:token|positions (tokens)]] | 736 407 | 1 535 609 | 1 542 133 |
^ Number of [[pojmy:token|positions (tokens)]] without puctuation, hesitations and interjections | 578 398 | 1 207 255 | 1 212 729 |
^ Number of [[pojmy:word| word forms (word)]] | 60 952 | 97 816 | 97 680 |
^ Number of [[pojmy:atributy_strukturni#struktura_korpusu_mluvene_cestiny|conversations recorded]] | 318 | 489 | 489 |
^ Number of [[pojmy:atributy_strukturni#struktura_korpusu_mluvene_cestiny|utterances]] | 68 727 | 147 867 | 148 479 |
^ Number of unique (different) speakers| 332 | 468 | 468 |
^ Length of recordings [hh:mm:ss.ms] | 72:07:47.368 | 148:51:51.56 | 149:27:18.998 |
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====== Corpus composition and data acquisition ======

The aim of the corpus is to document and present a range of monologue types occurring in spoken language that can be reliably captured. Unlike typical corpora that focus predominantly on academic lectures, this corpus also includes brief monologues such as opening remarks at social events, toasts, welcome addresses, award announcements, and similar formats. In many of these situations, the speaker represents a specific institution, professional domain, or area of interest, and often assumes a clearly defined social role. The collected material has been categorized into 12 distinct situational types.

Although the primary focus is on monologic speech, the corpus also contains recordings involving multiple speakers. These typically consist of sequences of speeches by different speakers introduced by a moderator or delivered in rapid succession during a single event.

The original criteria for including a recording in the corpus were that it must not be a read speech and that it must take place in the presence of an audience. This means that it must not be a speech prepared for the web, as it is impossible to know whether it has been repeatedly recorded and additionally edited. It is therefore not possible to guarantee an authentic capture of a monologue under normal conditions, where the speaker is exposed to certain expectations from the audience, is influenced by their presence and by the form of the event in question. However, during the data collection we repeatedly came across the fact that on certain occasions the (partially) read form is a usual part of monologues, for example, because they are ceremonies where the form has to be observed (e.g. graduation) or even legally binding (wedding ceremony), quotations are usually part of the lecture, or the speech is interpreted. We have therefore decided to include a small number (18 recordings) of read or partially read speeches to complete the picture of monologues more comprehensively. For the same reasons, we have also selected a few (9 in total) recordings without an audience, made available to the general public via the Internet; these are lectures or New Year's speeches. Each of these types accounts for about 3% of the scope of the whole corpus.

The recordings were made at various locations in the Czech Republic or were downloaded from the internet with the consent of the spokesperson. Except for the 9 cases mentioned above, the recordings always capture the communication situation in the presence of the audience and in an authentic environment. The corpus is also not balanced by the gender of the speakers, with a predominance of men.

====== ORATOR v1 (2019) ======

The ORATOR v1 corpus consists of 318 recordings of 332 speakers from 2005-2019. The length of the recordings ranges from 13 seconds to 49 minutes. Some long lectures are split into multiple parts for technical reasons.

====== ORATOR v2 (2020) ======

In 2020, the ORATOR corpus has been expanded to more than double its size (more than 1.5 million tokens). The corpus consists of 489 recordings of 468 speakers from 2005-2019. In addition to the increase in corpus size, there have also been many minor improvements in transcription consistency and annotation. The ORATOR v2 corpus is annotated with the original morphological tag.

====== ORATOR v3 (2025) ======

The ORATOR corpus in its third version contains the same recordings and transcripts as the second version (i.e. over 1.5 million tokens), but they are newly annotated according to the SYN2020 standard. The genphone attribute is also newly included in the corpus, indicating the automatically generated phonetic form of a word. In addition, a number of transcription corrections have been made.
===== How to cite =====

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Kopřivová, M. – Laubeová, Z. – Lukeš, D. – Poukarová, P. – Horký, V. – Jelínek, T. – Křivan, J.: //ORATOR v3: Corpus of monologues, version 3, 28. 5. 2025//. Ústav Českého národního korpusu FF UK, Praha 2025. Retrieved from [[https://www.korpus.cz]].

Kopřivová, M. – Laubeová, Z. – Lukeš, D. – Poukarová, P.: //ORATOR v2: Korpus monologů//. Ústav Českého národního korpusu FF UK, Praha 2020. Retrieved from [[https://www.korpus.cz]].

Kopřivová, M. – Laubeová, Z. – Lukeš, D. – Poukarová, P.: //ORATOR v1: Korpus monologů//. Ústav Českého národního korpusu FF UK, Praha 2019. Retrieved from [[https://www.korpus.cz]].
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Trace: • zobrazeni • frekvence • anotace_v_tabulkovem_procesoru • syn2020 • czesl-plain • content-word_features
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