MARC details
| 000 -LEADER |
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| fixed length control field |
02200nam a22002537a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240216133422.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240215b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781108497329 |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
IIITD |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
418.020 |
| Item number |
KOE-N |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Koehn, Philipp |
| 245 10 - TITLE STATEMENT |
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| Title |
Neural machine translation |
| Statement of responsibility, etc |
by Philipp Koehn |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
Cambridge : |
| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
©2020 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xiv, 393 p. : |
| Other physical details |
ill. ; |
| Dimensions |
26 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Title |
1. The Translation Problem |
| -- |
2. Uses of Machine Translation |
| -- |
3. History |
| -- |
4. Evaluation |
| -- |
5. Neural Networks |
| -- |
6. Computation Graphs |
| -- |
7. Neural Language Models |
| -- |
8. Neural Translation Models |
| -- |
9. Decoding |
| -- |
10. Machine Learning Tricks |
| -- |
11. Alternate Architectures |
| -- |
12. Revisiting Words |
| -- |
13. Adaptation |
| -- |
14. Beyond Parallel Corpora |
| -- |
15. Linguistic Structure |
| -- |
16. Current Challenges |
| -- |
17. Analysis and Visualization |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
"A decade after the publication of my textbook Statistical Machine Translation, translation technology has changed drastically. As in other areas of artificial intelligence, deep neural networks have become the dominant paradigm, bringing with them impressive improvements of translation quality but also new challenges. What you are holding in your hands started out four years ago as a chapter of an envisioned second edition of that textbook, but the new way of doing things expanded so dramatically, and so little of previous methods is still relevant, that the text has grown into a book of its own right. Besides the chapter on evaluation, there is very little overlap between these two books. For the novice reader interested in machine translation, this is good news. We all started anew a few years ago, so you are not far behind in learning about the state of the art in the field"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Machine translation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Subject: Translating and interpreting -- Data processing. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
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| Display text |
Online version: |
| Main entry heading |
Koehn, Philipp, 1971- |
| Title |
Neural machine translation |
| Edition |
First ed. |
| Place, publisher, and date of publication |
New York : Cambridge University Press, 2020. |
| International Standard Book Number |
9781108608480 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
