TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI
CORLI is a consortium of Huma-Num, the French national infrastructure dedicated to the technical support and promotion of digital humanities. The goal of CORLI is to promote and provide tools and information for good and efficient research practices in corpus linguistics, especially on spoken langua...
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| Format: | Article |
| Language: | deu |
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Text Encoding Initiative Consortium
2021-07-01
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| Series: | Journal of the Text Encoding Initiative |
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| Online Access: | https://journals.openedition.org/jtei/3464 |
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| author | Christophe Parisse Carole Etienne Loïc Liégeois |
| author_facet | Christophe Parisse Carole Etienne Loïc Liégeois |
| author_sort | Christophe Parisse |
| collection | DOAJ |
| description | CORLI is a consortium of Huma-Num, the French national infrastructure dedicated to the technical support and promotion of digital humanities. The goal of CORLI is to promote and provide tools and information for good and efficient research practices in corpus linguistics, especially on spoken language corpora. Because of the time required to collect and transcribe spoken language resources, their number is limited and thus corpora need to be interoperable and reusable in order to improve research on themes such as phonology, prosody, interaction, syntax, and textometry. To help researchers reach this goal, CORLI has designed a pair of tools: TEICORPO to assist in the conversion and use of spoken language corpora, and TEIMETA for metadata purposes. TEICORPO is based on the principle of an underlying common format, namely TEI XML as described in its specification for spoken language use (ISO 2016). This tool enables the conversion of transcriptions created with alignment software such as CLAN, Transcriber, Praat, or ELAN as well as common file formats (CSV, XLSX, TXT, or DOCX) and the TEI format, which plays the role of a lossless pivot format. Backward conversion is possible in many cases, with limitations inherent in the destination target format. TEICORPO can run the Treetagger part-of-speech tagger and the Stanford CoreNLP tools on TEI files and can export the resulting files to textometric tools such as TXM, Le Trameur, or Iramuteq, making it suitable for spoken language corpora editing as well as for various research purposes. |
| format | Article |
| id | doaj-art-757ebaea906749528ced688b3a6bae6a |
| institution | Kabale University |
| issn | 2162-5603 |
| language | deu |
| publishDate | 2021-07-01 |
| publisher | Text Encoding Initiative Consortium |
| record_format | Article |
| series | Journal of the Text Encoding Initiative |
| spelling | doaj-art-757ebaea906749528ced688b3a6bae6a2025-01-30T13:56:37ZdeuText Encoding Initiative ConsortiumJournal of the Text Encoding Initiative2162-56032021-07-011310.4000/jtei.3464TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEIChristophe ParisseCarole EtienneLoïc LiégeoisCORLI is a consortium of Huma-Num, the French national infrastructure dedicated to the technical support and promotion of digital humanities. The goal of CORLI is to promote and provide tools and information for good and efficient research practices in corpus linguistics, especially on spoken language corpora. Because of the time required to collect and transcribe spoken language resources, their number is limited and thus corpora need to be interoperable and reusable in order to improve research on themes such as phonology, prosody, interaction, syntax, and textometry. To help researchers reach this goal, CORLI has designed a pair of tools: TEICORPO to assist in the conversion and use of spoken language corpora, and TEIMETA for metadata purposes. TEICORPO is based on the principle of an underlying common format, namely TEI XML as described in its specification for spoken language use (ISO 2016). This tool enables the conversion of transcriptions created with alignment software such as CLAN, Transcriber, Praat, or ELAN as well as common file formats (CSV, XLSX, TXT, or DOCX) and the TEI format, which plays the role of a lossless pivot format. Backward conversion is possible in many cases, with limitations inherent in the destination target format. TEICORPO can run the Treetagger part-of-speech tagger and the Stanford CoreNLP tools on TEI files and can export the resulting files to textometric tools such as TXM, Le Trameur, or Iramuteq, making it suitable for spoken language corpora editing as well as for various research purposes.https://journals.openedition.org/jtei/3464transcriptionTEIconversionoral corporaannotationBlock |
| spellingShingle | Christophe Parisse Carole Etienne Loïc Liégeois TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI Journal of the Text Encoding Initiative transcription TEI conversion oral corpora annotationBlock |
| title | TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI |
| title_full | TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI |
| title_fullStr | TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI |
| title_full_unstemmed | TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI |
| title_short | TEICORPO: A Conversion Tool for Spoken Language Transcription with a Pivot File in TEI |
| title_sort | teicorpo a conversion tool for spoken language transcription with a pivot file in tei |
| topic | transcription TEI conversion oral corpora annotationBlock |
| url | https://journals.openedition.org/jtei/3464 |
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