Hybrid Approaches to Machine Translation (Record no. 54970)
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| 000 -LEADER | |
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| fixed length control field | 03429nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-21311-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111701.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160712s2016 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319213118 |
| -- | 978-3-319-21311-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.35 |
| 245 10 - TITLE STATEMENT | |
| Title | Hybrid Approaches to Machine Translation |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | IX, 205 p. 45 illus., 18 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Theory and Applications of Natural Language Processing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Preface -- Foreword -- Chapter 1. Hybrid Machine Translation Overview -- Part 1: Adding Linguistics into SMT -- Chapter 2. Controllent Ascent: Imbuing Statistical MT with Linguistic knowledge -- Chapter 3. Hybrid Word Alignment -- Chapter 4. Syntax in SMT -- Part 2. Using Machine Learning in MT -- Chapter 5. Machine Learning in RBMT -- Chapter 6. Language-Independent Hybrid MT -- Part 3. Hybrid NLP tools useful for MT -- Chapter 7. Use of Dependency Parsers in MT -- Chapter 8. Word Sense Disambiguation in MT. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also - in the wider fields of Computational Linguistics, Machine Learning and Data Mining - to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Costa-juss�a, Marta R. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Rapp, Reinhard. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Lambert, Patrik. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Eberle, Kurt. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Banchs, Rafael E. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Babych, Bogdan. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-21311-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2016. |
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| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational linguistics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Translation and interpretation. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Language Translation and Linguistics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Linguistics. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Translation. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2192-032X |
| 912 ## - | |
| -- | ZDB-2-SCS |
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