Matches in ScholarlyData for { ?s ?p ?o. }
- 398 hasTopic Linguistics.
- 398 isPartOf proceedings.
- 398 keyword "Corpus (creation, annotation, etc.)".
- 398 keyword "Lexicon, lexical database".
- 398 keyword "MultiWord Expressions & Collocations".
- 398 title "Verb-Noun Collocation SyntLex Dictionary: Corpus-Based Approach".
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- item-1 hasContent grazyna-vetulani.
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- item-2 hasContent zygmunt-vetulani.
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- 399 creator craig-schlenoff.
- 399 creator gregory-sanders.
- 399 creator sebastien-bronsart.
- 399 creator sherri-condon.
- 399 type InProceedings.
- 399 label "Odds of Successful Transfer of Low-Level Concepts: a Key Metric for Bidirectional Speech-to-Speech Machine Translation in DARPA s TRANSTAC Program".
- 399 sameAs 399.
- 399 abstract "The Spoken Language Communication and Translation System for Tactical Use (TRANSTAC) program is a Defense Advanced Research Agency (DARPA) program to create bidirectional speech-to-speech machine translation (MT) that will allow U.S. Soldiers and Marines, speaking only English, to communicate, in tactical situations, with civilian populations who speak only other languages (for example, Iraqi Arabic). A key metric for the program is the odds of successfully transferring low-level concepts, defined as the source-language content words. The National Institute of Standards and Technology (NIST) has now carried out two large-scale evaluations of TRANSTAC systems, using that metric. In this paper we discuss the merits of that metric. It has proven to be quite informative. We describe exactly how we defined this metric and how we obtained values for it from panels of bilingual judges allowing others to do what we have done. We compare results on this metric to results on Likert-type judgments of semantic adequacy, from the same panels of bilingual judges, as well as to a suite of typical automated MT metrics (BLEU, TER, METEOR).".
- 399 hasAuthorList authorList.
- 399 hasTopic Linguistics.
- 399 isPartOf proceedings.
- 399 keyword "Evaluation methodologies".
- 399 keyword "Machine Translation, SpeechToSpeech Translation".
- 399 keyword "Multilinguality".
- 399 title "Odds of Successful Transfer of Low-Level Concepts: a Key Metric for Bidirectional Speech-to-Speech Machine Translation in DARPA s TRANSTAC Program".
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- item-1 hasContent gregory-sanders.
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- 400 creator hiroaki-nanjo.
- 400 creator hiromitsu-nishizaki.
- 400 creator katunobu-itou.
- 400 creator kiyoaki-aikawa.
- 400 creator norihito-yasuda.
- 400 creator tatsuya-kawahara.
- 400 creator tomoyosi-akiba.
- 400 creator yoichi-yamashita.
- 400 creator yoshiaki-itoh.
- 400 type InProceedings.
- 400 label "Test Collections for Spoken Document Retrieval from Lecture Audio Data".
- 400 sameAs 400.
- 400 abstract "The Spoken Document Processing Working Group, which is part of the special interest group of spoken language processing of the Information Processing Society of Japan, is developing a test collection for evaluation of spoken document retrieval systems. A prototype of the test collection consists of a set of textual queries, relevant segment lists, and transcriptions by an automatic speech recognition system, allowing retrieval from the Corpus of Spontaneous Japanese (CSJ). From about 100 initial queries, application of the criteria that a query should have more than five relevant segments that consist of about one minute speech segments yielded 39 queries. Targeting the test collection, an ad hoc retrieval experiment was also conducted to assess the baseline retrieval performance by applying a standard method for spoken document retrieval.".
- 400 hasAuthorList authorList.
- 400 hasTopic Linguistics.
- 400 isPartOf proceedings.
- 400 keyword "Evaluation methodologies".
- 400 keyword "Information Extraction, Information Retrieval".
- 400 keyword "Speech resource/database".
- 400 title "Test Collections for Spoken Document Retrieval from Lecture Audio Data".
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- item-1 hasContent tomoyosi-akiba.
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