OLAC Record oai:www.ldc.upenn.edu:LDC2025S05

Metadata
Title:		IWSLT 2022-2023 Shared Task Training, Development and Test Set
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Arrigo, Michael, et al. IWSLT 2022-2023 Shared Task Training, Development and Test Set LDC2025S05. Web Download. Philadelphia: Linguistic Data Consortium, 2025
Contributor:		Arrigo, Michael
		Delgado, Dana
		Strassel, Stephanie
		Graff, David
Date (W3CDTF):		2025
Date Issued (W3CDTF):		2025-06-16
Description:		*Introduction* IWSLT 2022 - 2023 Shared Task Training, Development and Test Set was developed by the Linguistic Data Consortium (LDC). It contains 210 hours of Tunisian Arabic conversational telephone speech, transcripts and their English translations covering 175 hours of that speech, speaker metadata, and documentation. This material constitutes the training, development and test data used in the International Conference on Spoken Language Translation (IWSLT) Dialectal Speech Translation task (2022) and the Dialectal and Low-resource track (2023). *Data* The telephone speech was collected by LDC in 2016-2017 from native speakers of Tunisian Arabic in Tunis. Speakers were recruited to make telephone calls to people in their social networks from a variety of noise conditions and handsets. The calls were recorded using a robot operator system that captured digital audio samples directly from the regional public telephone network with the informed consent of participants. The audio files are two-channel recordings across 1,188 conversations. Transcripts are orthographic following Buckwalter transliteration. IPA (International Phonetic Alphabet) transcripts were added to a subset of the data. All transcribed segments were translated into English. Further information on the transcription and translation methodologies is contained in the documentation accompanying this release. The audio, transcripts and translations are stored as pairs of single-channel files representing the two sides ("A" and "B") of each conversation. Speech data is presented as FLAC-compressed MS-WAV files in 16-bit 8 kHz PCM format. All text data is UTF-8 encoded. *Samples* Please view the following samples: * Audio (.FLAC) * Transcription TSV * Translation TSV *Updates* No updates at this time.
Extent:		Corpus size: 8010389 KB
Format:		Sampling Rate: 8000
		Sampling Format: PCM
Identifier:		LDC2025S05
		https://catalog.ldc.upenn.edu/LDC2025S05
		ISLRN: 259-142-542-173-8
		DOI: 10.35111/h29h-2f84
Language:		English
		Tunisian Arabic
Language (ISO639):		eng
		aeb
License:		LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf
Medium:		Distribution: Web Download
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2025S05
Rights Holder:		Portions © 2002-2004 QAMUS, LLC, © 2002-2004, 2016-2018, 2020, 2022, 2023, 2025 Trustees of the University of Pennsylvania
Subject:		Tunisian Arabic language
Subject (ISO639):		aeb
Type (DCMI):		Sound
		Text
Type (OLAC):		primary_text
OLAC Info
Archive:		The LDC Corpus Catalog
Description:		http://www.language-archives.org/archive/www.ldc.upenn.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:www.ldc.upenn.edu:LDC2025S05
DateStamp:		2025-06-16
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Arrigo, Michael; Delgado, Dana; Strassel, Stephanie; Graff, David. 2025. Linguistic Data Consortium.
Terms:		area_Africa area_Europe country_GB country_TN dcmi_Sound dcmi_Text iso639_aeb iso639_eng olac_primary_text
Inferred Metadata
Country:		Tunisia
Area:		Africa