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| en:cnk:orator [2025/06/06 13:36] – [Morphological tagging of the ORATOR corpus] martinawaclawicova | en:cnk:orator [2026/06/30 12:39] (current) – michalkren |
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| 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. | 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. |
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| 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. | Transcription rules, linking to the corresponding audio track (using the [[https://archive.mpi.nl/tla/elan|ELAN]] tool, developed in the Max Planck Institute for Psycholinguistics, Nijmegen((ELAN (Version 7.1) [Computer software]. (2026). Nijmegen: Max Planck Institute for Psycholinguistics. Retrieved from https://archive.mpi.nl/tla/elan |
| | ))) 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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| <WRAP 45%> | <WRAP 45%> |
| ===== Morphological tagging of the ORATOR corpus ===== | ===== Morphological tagging of the ORATOR corpus ===== |
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| The ORATOR v3 corpus is automatically [[en:pojmy:tag|annotated]] with [[en:cnk:syn2020#morphological_tagging|a new morphological tag]] according to the SYN2020 standard. It recognizes [[en:cnk:syn2020#multiple_lemmatization_and_tagging_aggregate|aggregates]] (e.g., //vidělas//, //zač//), uses [[en:cnk:syn2020|double-level lemmatization]], and has a verb tag ([[en:cnk:syn2020#verb_tagging_verbtag|verbtag]]). | The ORATOR v3 corpus is automatically [[en:pojmy:tag|annotated]] with [[en:cnk:syn2020#morphological_tagging|a new morphological tag]] according to the [[en:cnk:anotacni_standard_cnk|unified CNC annotation scheme]]. It recognizes [[en:cnk:syn2020#multiple_lemmatization_and_tagging_aggregate|aggregates]] (e.g., //vidělas//, //zač//), uses [[en:cnk:syn2020|double-level lemmatization]], and has a verb tag ([[en:cnk:syn2020#verb_tagging_verbtag|verbtag]]). |
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| Substandard variants and forms typical of dialects and spontaneous speech are also tagged in the corpus (according to the ORTOFON corpus). | Substandard variants and forms typical of dialects and spontaneous speech are also tagged in the corpus (according to the ORTOFON corpus, see [[en:cnk:ortofon#morphological_tagging_of_the_ortofon_corpus|Morphological tagging of the ORTOFON corpus]]). |
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| The following specific tags are used in the first tag position (word type): | The following specific tags are used in the first tag position (word type): |
| ====== ORATOR v3 (2025) ====== | ====== ORATOR v3 (2025) ====== |
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| 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, several transcription corrections have been made. | 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 annotated according to the new Unified CNC Annotation Scheme using a language model trained also on spoken data. The ''genphone'' attribute is also newly included in the corpus, indicating the automatically generated phonetic form of a word. In addition, several transcription corrections have been made. |
| ===== How to cite ===== | ===== How to cite ===== |
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