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| 003 | ES-MaUEC | ||
| 005 | 20230207040439.0 | ||
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| 008 | 160712s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319213118 | ||
| 040 | _aES-MaUEC | ||
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_aQA76.9.N38 _bH937 2016 |
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| 082 | 0 | 4 | _a006.35 |
| 245 | 1 | 0 |
_aHybrid Approaches to Machine Translation _cedited by Marta R Costa-jussà, Reinhard Rapp, Patrik Lambert, Kurt Eberle, Rafael E Banchs, Bogdan Babych |
| 260 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 |
_a1 recurso en línea (IX, 205 páginas) _b45 ilustraciones, 18 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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_aTheory and Applications of Natural Language Processing _x2192-032X |
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| 505 | 0 | _aPreface -- 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 | 3 | _aThis 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. | |
| 650 | 7 |
_aTraducción _0comprobar BNE19900983875 _2embne _9140337 |
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| 650 | 7 |
_aProceso en lenguaje natural (Informática) _0(OCoLC)1034365 _2embne _9158738 |
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| 700 | 1 |
_aCosta-jussà, Marta R. _eeditor literario _997166 _0Local |
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| 700 | 1 |
_aRapp, Reinhard _eeditor literario _997167 _0Local |
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| 700 | 1 |
_aLambert, Patrik _eeditor literario _997168 _0Local |
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| 700 | 1 |
_aEberle, Kurt _eeditor literario _997169 _0Local |
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| 700 | 1 |
_aBanchs, Rafael E. _eeditor literario _997170 _0Local |
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| 700 | 1 |
_aBabych, Bogdan _eeditor literario _0Local _997171 |
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_aSpringerLink (Online service) _0Local _9106996 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-21311-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
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