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1
Evolution and differentiation of the cybersecurity communities in three social question and answer sites: A mixed-methods analysis.
In: PloS one, vol 16, iss 12 (2021)
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2
Artificial Intelligence Techniques for Cognitive Sensing in Future IoT: State-of-the-Art, Potentials, and Challenges
In: Journal of Sensor and Actuator Networks ; Volume 9 ; Issue 2 (2020)
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3
The Quality of Big Data: Development, Problems, and Possibilities of Use of Process-Generated Data in the Digital Age
In: Historical Social Research ; 45 ; 3 ; 209-243 (2020)
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4
Languages, Cultures, Media
Osborne, John; Lewandowska-Tomaszczyk, Barbara; Kopytowska, Monika. - : HAL CCSD, 2016. : Université Savoie Mont-Blanc, 2016
In: https://hal.archives-ouvertes.fr/hal-01412764 ; France. Langages (18), Université Savoie Mont-Blanc, pp.361, 2016, 978-2-919732-75-3 (2016)
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5
Twitter and society
In: 89 ; Digital Formations ; 447 (2016)
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6
Machine Intelligence for Health Information: Capturing Concepts & Trends in Social Media via Query Expansion
In: Machine Intelligence for Health Information: Capturing Concepts & Trends in Social Media via Query Expansion (2015)
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7
The role of markup in the digital humanities
In: Historical Social Research ; 37 ; 3 ; 125-146 ; Kontroversen um die Digitalen Geisteswissenschaften / Controversies around the digital humanities (2015)
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8
On the applicability of Internet-mediated research methods to investigate translators’ cognitive behaviour
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 7, Iss 1 (2015) (2015)
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9
ILER: A Web-Accessible Resource for Research in Forensic Linguistics
In: Linguistic Evidence in Security, Law and Intelligence; Vol 1, No 1 (2013); 99-103 ; 2327-5596 (2013)
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10
Open-Source Multi-Language Audio Database for Spoken Language Processing Applications
In: DTIC (2012)
Abstract: This report gives a detailed summary of research work completed under Air Force Research Laboratory (AFRL) grant 53925, over the time period (April 12, 2010 April 10, 2012). There are two main aspects of the work completed. First was the collection and annotation of a large open source data base of speech passages from web sites such as You Tube. 300 passages were collected in each of three languages English, Mandarin, and Russian. Approximately 30 hours of speech were collected for each language. Each passage has been carefully transcribed at the phrasal level by human listeners. Each passage was originally transcribed and then checked and the transcription edited as needed by at least two additional native language listeners. The English and Mandarin were then forced aligned and labeled at the phonetic level using a combination of manual and automatic methods. The Russian passages have not yet been marked at the phonetic level. Another phase of the work was to explore several algorithmic methods for improving automatic speech recognition (ASR) for this intelligible but challenging data base. Note that the body of the report has four main sections plus appendices which introduce, describe, and summarize a portion of the work.
Keyword: *PHONETICS; *SPEECH RECOGNITION; AIR FORCE FACILITIES; AIR FORCE RESEARCH; ALGORITHMS; AUTOMATIC; COLLECTION; DATA BASES; ENGLISH LANGUAGE; INTERNET; LABORATORIES; LANGUAGE; Linguistics; PE65502F; PROCESSING; REPORTS; SOUND; SPEECH; Voice Communications; WUAFRL3480BA01
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA571008
http://www.dtic.mil/docs/citations/ADA571008
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11
Analysis of clinical uncertainties by health professionals and patients: an example from mental health.
In: BMC Med Inform Decis Mak , 9 34-. (2009) (2009)
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