4,189,331 research outputs found
Contract between John Philip Trinkaus and Cambridge University Press
Contract of Trinkaus's contribution to the book published by Cambridge University Press, in honour of Michael Abercrombie.Typed document and Photocopy of typed document2-pagesPublication
[Letter from Cambridge University Press to Dr. Meyer Bodansky - January 31, 1930]
Letter to Dr. Meyer Bodansky from Cambridge University Press dated January 31, 1930, granting permission to Dr. Bodansky to use information in their Biomedical Journal for a new edition of his textbook
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Cambridge University Libraries Digital Preservation Policy (V2.0)
Digital preservation policy describing the approach to preserving digital collection materials held by Cambridge University Libraries
Book review: Commerce and Manners in Edmund Burke’s Political Economy. By Gregory M. Collins. Cambridge: Cambridge University Press, 2020. 564p.
This is the author accepted manuscript. The final version is available from Cambridge University Press via the DOI in this recor
Book review: The Art of Political Control in China. By Daniel C. Mattingly. Cambridge: Cambridge University Press, 2020
This is the author accepted manuscript. The final version is available from Cambridge University Press via the DOI in this recordBritish Academ
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Cambridge University Libraries Digital Preservation Policy
The Digital Preservation Policy (the Policy) sets out the duties and responsibilities for Cambridge University Libraries’ (CUL) stewardship of digital content. This Policy applies to the main University Library as well as affiliate and dependent libraries. The Policy provides the overarching framework for supporting the management of digital content (encompassing born-digital and digitised content)
Cambridge University Library Annual report for the year 2001-2002
SIGLEAvailable from British Library Document Supply Centre- DSC:1135. 954(2001/2002) / BLDSC - British Library Document Supply CentreGBUnited Kingdo
Spoken Document Retrieval For TREC-7 At Cambridge University
This paper presents work done at Cambridge University, on the TREC7 Spoken Document Retrieval (SDR) Track. The broadcast news audio was transcribed using a 2-pass gender-dependent HTK speech recogniser which ran at 50 times real time and gave an overall word error rate of 24.8%, the lowest in the track. The Okapi-based retrieval engine used in TREC-6 by the City/Cambridge University collaboration was supplemented by improving the stop-list, adding a bad-spelling mapper and stemmer exceptions list, adding word-pair information, integrating part-of-speech weighting on query terms and including some pre-search statistical expansion. The final system gave an average precision of 0.4817 on the reference and 0.4509 on the automatic transcription, with the R-precision being 0.4603 and 0.4330 respectively. The paper also presents results on a new set of 60 queries with assessments for the TREC-6 test document data used for development purposes, and analyses the relationship between recognition..
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