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03190amm a2200409 i 4500 001 A688FDECFC8011EE9ABF7B513DECA4DB 003 SILO 005 20240417010124 007 co#ugunnnuuuuu 008 220325s2021 pau q u eng d 020 $a 9781585639540 020 $a 1585639540 035 $a (OCoLC)1305399427 040 $a AZU $b eng $e rda $c AZU $d OCLCO $d OCLCQ $d NUI $d SILO 245 00 $a ATIS - Seven Languages ; $c Linguistic Data Consortium 260 $a Philadelphia, Pa.: $b Linguistic Data Consortium, $c 2021 300 $a 1 CD-ROM ; $c 4 3/4 in. 500 $a Title from disc surface. 500 $a Language(s): English, Spanish, German, French, Portuguese, Japanese, Chinese 500 $a Author(s): Saab Mansour, Batool Haider. 500 $a "LDC2021T04." 500 $a Release Date: January 15, 2021 500 $a Introduction: ATIS - Seven Languages was developed by Amazon Web Services, Inc. and consists of 5,871 English utterances from ATIS (Air Travel Information Services) corpora, specifically ATIS2 (LDC93S5), ATIS3 Training Data (LDC94S19), and ATIS3 Test Data (LDC95S26), translated into six languages: Spanish, German, French, Portuguese, Chinese, and Japanese. The ATIS collection was developed to support the research and development of speech understanding systems. Participants were presented with various hypothetical travel planning scenarios and asked to solve them by interacting with partially or completely automated ATIS systems. The resulting utterances were recorded and transcribed. Data was collected in the early 1990s at five US sites: Raytheon BBN, Carnegie Mellon University, MIT Laboratory of Computer Science, National Institute for Standards and Technology, and SRI International. 500 $a Data: The data is separated into 4,978 utterances for training and 893 utterances for testing following the original ATIS division. The training set contains 4,978 utterances selected from the Class A (context independent) training data in the ATIS2 and ATIS3 corpora. The test set contains 893 utterances from the November 1993 and December 1994 data sets in ATIS3. The original English utterances were manually translated into the six languages. This release also includes the original English utterance. Each utterance is annotated with named entities via table lookup; markers include city, airline, airport names and dates.Data is stored in UTF-8 encoded tab separated value files. 650 0 $a Automatic speech recognition $v Databases. 650 0 $a Natural language processing (Computer science) $v Databases. 650 7 $a Automatic speech recognition. $2 fast $0 (OCoLC)fst00822769 650 7 $a Natural language processing (Computer science) $2 fast $0 (OCoLC)fst01034365 655 7 $a Databases. $2 fast $0 (OCoLC)fst01411643 710 2 $a Linguistic Data Consortium. 710 2 $a National Institute of Standards and Technology (U.S.) 710 1 $a United States. $b Advanced Research Projects Agency. 700 1 $a Mansour, Saab, $e author. 700 1 $a Haider, Batool A., $e author. 941 $a 1 952 $l OVUX522 $d 20240417025345.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=A688FDECFC8011EE9ABF7B513DECA4DBInitiate Another SILO Locator Search