Sprache: Englisch
Verlag: O'Reilly Media (edition 1), 2012
ISBN 10: 1449306667 ISBN 13: 9781449306663
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Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2012
ISBN 10: 1449306667 ISBN 13: 9781449306663
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gebundene Ausgabe. Zustand: Gut. 245 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Sprache: Englisch Gewicht in Gramm: 580.
Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Verlag: University of Massachusetts Press, 1981
Anbieter: Mahler Books, PFLUGERVILLE, TX, USA
Paperback. Zustand: Very Good. This book is in very good condition; four name stamps on the covers. It does have some cover shelfwear. Inside pages are clean. B0015HS16W.
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In den WarenkorbHardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 1996. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.
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In den WarenkorbHardcover. Zustand: Très bon. Ancien livre de bibliothèque. Couverture différente. Edition 1996. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Different cover. Edition 1996. Ammareal gives back up to 15% of this item's net price to charity organizations.
Softcover. Zustand: Very Good. 8vo - over 7¾" - 9¾" tall.
Verlag: University of Massachusetts, 1984
Anbieter: Jay W. Nelson, Bookseller, IOBA, Austin, MN, USA
Verbandsmitglied: IOBA
Soft cover. Zustand: Near Fine. No Jacket.
Sprache: Englisch
Verlag: Cambridge University Press, 2019
ISBN 10: 0521547954 ISBN 13: 9780521547956
Anbieter: More Than Words, Waltham, MA, USA
Zustand: Good. A sound copy with only light wear. Overall a solid copy at a great price!
Zustand: New.
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Softcover. Doctoral dissertation. Previous owner's name on title page. Near fine.; 8vo.
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Zustand: New.
Sprache: Englisch
Verlag: Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2015
ISBN 10: 3642442439 ISBN 13: 9783642442438
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 33,42
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In den WarenkorbPaperback. Zustand: New. 2013th.
Sprache: Englisch
Verlag: Springer-Verlag, Berlin / London / New York, 1992
ISBN 10: 0387558012 ISBN 13: 9780387558011
Anbieter: PsychoBabel & Skoob Books, Didcot, Vereinigtes Königreich
EUR 20,82
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In den WarenkorbPaperback. Zustand: Good. Zustand des Schutzumschlags: No Dust Jacket. Sticker to front cover. (Lecture Notes in Artificial Intelligence 627). Used.
hardcover. Zustand: Very Good. Cover and edges may have some wear.
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 39,98
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In den WarenkorbPaperback. Zustand: New. Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process. Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You'll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations. This book is a perfect companion to O'Reilly's Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.
Paperback. Zustand: New. Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process. Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You'll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations. This book is a perfect companion to O'Reilly's Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.
Soft cover. Zustand: Very Good. VG+, unmarked bright pages, crisp tight copy.