Machine learning in translation. (2023)
- Record Type:
- Book
- Title:
- Machine learning in translation. (2023)
- Main Title:
- Machine learning in translation
- Further Information:
- Note: Edited by Peng Wang, David Sawyer.
- Authors:
- Wang, Peng
- Editors:
- Wang, Peng, 1975-
Sawyer, David B - Contents:
- List of figures and tables Introduction PART I - HUMAN AND MACHINE APPROACHES TO TRANSLATION 1. Convergence of two approaches to translation 2. Levels of analysis 3. Predicative language models PART II - MACHINE LEARNING TASKS IN TRANSLATION 4. Machine translation 5. Machine translation quality assessment and quality estimation 6. Intentionality and NLP tasks in translation PART III - DATA IN HUMAN AND MACHINE LEARNING 7. Translation-computer interaction through language data 8. Balancing machine and human learning in translation 9. Impact of machine learning on translator education Epilogue – Human-centered machine learning in translation References Index
- Edition:
- 1st
- Publisher Details:
- London : Routledge
- Publication Date:
- 2023
- Extent:
- 1 online resource (206 pages), illustrations (black and white)
- Subjects:
- 418.020285631
Translating and interpreting -- Technological innovations
Translating and interpreting -- Data processing
Machine learning - Languages:
- English
- ISBNs:
- 9781000838688
9781000838657 - Related ISBNs:
- 9781032343228
9781032323800 - Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.759151
- Ingest File:
- 18_048.xml