Corpus of conversational humor Krohot 1.0

  Authors

Krajnc Ivič, Mira ; Mihailović, Larisa ; Ivič, Dominik and Verdonik, Darinka

  Item identifier

http://hdl.handle.net/11356/2065

 Project URL

https://www.clarin.si/info/services/projects/#Corpus_of_conversational_humor_Krohot

 Referenced by

https://doi.org/10.18690/um.ff.4.2024.10

 Date issued

2025-11-24

 Type

audio, corpus

 Size

232 minutes, 10 texts

 Language(s)

Slovenian

 Description

The KROHOT corpus consists of 10 audio recordings of private, spontaneous conversations between two or three speakers, with a total duration of 232 minutes. Most recordings were made between May and September 2025. The conversations include recollections about past events that triggered spontaneous humorous reactions among participants (conversational humour). Segments containing humour were manually annotated using a tagging scheme developed exclusively for this corpus. The scheme comprises five primary categories: vocabulary (lexical choice, including figurative use), relation (relationship between speakers), content (topical focus), attitude (speaker’s opinion toward the topic), and manner (purposefully humorous way of speaking). These categories are not mutually exclusive and can be combined. The corpus allows for the analysis of linguistic and communicative phenomena, including markers of humour and strategies used to achieve humorous effects (teasing, mocking, irony, or metaphorical language) in informal private spoken conversations. The corpus is available as WAV audio recordings, while the (aligned) transcriptions are given in the formats of the EXMARaLDA (https://exmaralda.org/en/) and Transcriber (https://trans.sourceforge.net/) tools, as well as in plain text.

 Publisher

Filozofska fakulteta, Univerza v Mariboru

 

Faculty of Electrical Engineering and Computer Science, University of Maribor

 Acknowledgement

Jožef Stefan Institute CLARIN "CLARIN.SI"

Public Agency for Scientific Research and Innovation of the Republic of Slovenia GC-0002 "Large Language Models for Digital Humanities (LLM4DH)"

 Subject(s)

spoken corpus humour speech database speech recordings speech transcription free conversation

 Collection(s)

CLARIN.SI data & tools

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