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Hybrid approaches to machine translation [electronic resource]

자료유형

E-Book(소장)

개인저자

Costa-jussà, Marta R.

서명 / 저자사항

Hybrid approaches to machine translation [electronic resource] / edited by Marta R. Costa-jussà ... [et al.].

발행사항

Cham : Springer International Publishing : Imprint: Springer, 2016.

형태사항

1 online resource (ix, 205 p.) : ill. (some col.).

총서사항

Theory and applications of natural language processing,2192-032X

ISBN

9783319213118

요약

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.

일반주기

Title from e-Book title page.

내용주기

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. .

서지주기

Includes bibliographical references.

이용가능한 다른형태자료

Issued also as a book.

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URL

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245	0 0	▼a Hybrid approaches to machine translation ▼h [electronic resource] / ▼c edited by Marta R. Costa-jussà ... [et al.].
260		▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2016.
300		▼a 1 online resource (ix, 205 p.) : ▼b ill. (some col.).
490	1	▼a Theory and applications of natural language processing, ▼x 2192-032X
500		▼a Title from e-Book title page.
504		▼a Includes bibliographical references.
505	0	▼a 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		▼a 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.
530		▼a Issued also as a book.
538		▼a Mode of access: World Wide Web.
700	1	▼a Costa-jussà, Marta R.
830	0	▼a Theory and applications of natural language processing.
856	4 0	▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-21311-8
945		▼a KLPA
991		▼a E-Book(소장)

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No.	소장처	청구기호	등록번호	도서상태	반납예정일	예약	서비스
No. 1	소장처 중앙도서관/e-Book 컬렉션/	청구기호 CR 006.35	등록번호 E14020205	도서상태 대출불가(열람가능)	반납예정일	예약	서비스 M

Hybrid approaches to machine translation [electronic resource]

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