OLAC Record oai:www.ldc.upenn.edu:LDC2007S13

Metadata
Title:		CSLU: Apple Words and Phrases
Access Rights:		Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining
Bibliographic Citation:		Noel, Mike. CSLU: Apple Words and Phrases LDC2007S13. Web Download. Philadelphia: Linguistic Data Consortium, 2007
Contributor:		Noel, Mike
Date (W3CDTF):		2007
Date Issued (W3CDTF):		2007-09-17
Description:		*Introduction* Apple Words and Phrases Version 1.3 contains approximately 69.5 hours of speech from 3008 telephone calls placed on analog and digital phone systems. Apple Computer, Inc. supported the development of this data and also supplied the list of words and phrases collected. Callers responded to questions and repeated a list of phrases as they were prompted. *Data* Subjects calling the analog system (998 callers) were employees of Apple Computer, Inc. and were solicited through interoffice email within the company. Subjects calling the digital system (2010 callers) were responding to USEnet postings or newspaper advertisements placed in several cities across the United States. Each subject called the CSLU data collection system by dialing a toll-free number. The analog data were collected via a Worldport Pod on an Apple Quadra A/V. The digital data were collected with the CSLU T1 digital data collection system. Callers were prompted to answer certain questions including, What is your native language? In which city and state did you spend most of your childhood? What time is it now? What day is today? Callers were also instructed to repeat various comnand and control type phrases, including "play previous message again", "make a meeting for today", "quit", "who is at work", "what is the area code for this state", "hello, what are my messages", "help", "please send a car from the city", "delete my email tomorrow", "read this text", "erase all information", "record extended phonebook", "transfer all calls to home at twelve o'clock", "record urgent message" and "find the operator". Each recorded utterance was listened to by a human verifier to determine if the speaker adequately followed the directions. If an utterance contained extraneous words or excessive noise, it was not included in the corpus. *Samples* * Analog * Digital
Extent:		Corpus size: 4928307 KB
Identifier:		LDC2007S13
		https://catalog.ldc.upenn.edu/LDC2007S13
		ISBN: 1-58563-456-5
		ISLRN: 281-421-598-631-6
		DOI: 10.35111/3mfr-b569
Language:		English
Language (ISO639):		eng
License:		CSLU Agreement: https://catalog.ldc.upenn.edu/license/cslu-corpora-non-commercial-research-only.pdf
Medium:		Distribution: Web Download
Publisher:		Linguistic Data Consortium
Publisher (URI):		https://www.ldc.upenn.edu
Relation (URI):		https://catalog.ldc.upenn.edu/docs/LDC2007S13
Rights Holder:		Portions © 2000-2002 Center for Spoken Language Understanding, Oregon Health & Science University, © 2007 Trustees of the University of Pennsylvania
Type (DCMI):		Sound
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:LDC2007S13
DateStamp:		2020-11-30
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Noel, Mike. 2007. Linguistic Data Consortium.
Terms:		area_Europe country_GB dcmi_Sound iso639_eng olac_primary_text