New Directions in Empirical Translation Process Research

Exploring the CRITT TPR-DB

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Computers, Advanced Computing, General Computing
Cover of the book New Directions in Empirical Translation Process Research by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319203584
Publisher: Springer International Publishing Publication: July 31, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319203584
Publisher: Springer International Publishing
Publication: July 31, 2015
Imprint: Springer
Language: English

This volume provides a comprehensive introduction to the Translation Process Research Database (TPR-DB), which was compiled by the Centre for Research and Innovation in Translation and Technologies (CRITT). The TPR-DB is a unique resource featuring more than 500 hours of recorded translation process data, augmented with over 200 different rich annotations. Twelve chapters describe the diverse research directions this data can support, including the computational, statistical and psycholinguistic modeling of human translation processes.

In the first chapters of this book, the reader is introduced to the CRITT TPR-DB. This is followed by two main parts, the first of which focuses on usability issues and details of implementing interactive machine translation. It also discusses the use of external resources and translator-information interaction. The second part addresses the cognitive and statistical modeling of human translation processes, including co-activation at the lexical, syntactic and discourse levels, translation literality, and various annotation schemata for the data.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This volume provides a comprehensive introduction to the Translation Process Research Database (TPR-DB), which was compiled by the Centre for Research and Innovation in Translation and Technologies (CRITT). The TPR-DB is a unique resource featuring more than 500 hours of recorded translation process data, augmented with over 200 different rich annotations. Twelve chapters describe the diverse research directions this data can support, including the computational, statistical and psycholinguistic modeling of human translation processes.

In the first chapters of this book, the reader is introduced to the CRITT TPR-DB. This is followed by two main parts, the first of which focuses on usability issues and details of implementing interactive machine translation. It also discusses the use of external resources and translator-information interaction. The second part addresses the cognitive and statistical modeling of human translation processes, including co-activation at the lexical, syntactic and discourse levels, translation literality, and various annotation schemata for the data.

More books from Springer International Publishing

Cover of the book Smart Growth Entrepreneurs by
Cover of the book Formal Techniques for Safety-Critical Systems by
Cover of the book Wound Management in Urgent Care by
Cover of the book Entrepreneurship Education at Universities by
Cover of the book International Conference on Security and Privacy in Communication Networks by
Cover of the book Laser Filamentation by
Cover of the book Advances in Mechanical Engineering by
Cover of the book Climate Change in Cities by
Cover of the book Birds as Useful Indicators of High Nature Value Farmlands by
Cover of the book Additive Manufacturing – Developments in Training and Education by
Cover of the book Race, Justice and American Intellectual Traditions by
Cover of the book Molecular Pathology in Clinical Practice by
Cover of the book RFID Technologies for Internet of Things by
Cover of the book Handbook of Nutraceuticals for Clinical Use by
Cover of the book Semantic Web Challenges by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy