Lucia Specia's Books

Quality Estimation for Machine Translation

By: Lucia Specia,Carolina Scarton,Gustavo Henrique Paetzold

Write a review Read reviews Take a Quiz Solve Book Puzzle

Quality Estimation for Machine Translation

By: Lucia Specia,Carolina Scarton,Gustavo Henrique Paetzold

Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language as input, systems are required to produce a version of this text (e.g., a translation), also in natural language, as output. Automatically evaluating the output of such systems is an important component in developing text-to-text applications. Two approaches have been proposed for this problem: (i) to compare the system outputs against one or more reference outputs using string matching-based evaluation metrics and (ii) to build models based on human feedback to predict the quality of system outputs without reference texts. Despite their popularity, reference-based evaluation metrics are faced with the challenge that multiple good (and bad) quality outputs can be produced by text-to-text approaches for the same input. This variation is very hard to capture, even with multiple reference texts. In addition, reference-based metrics cannot be used in production (e.g., online machine translation systems), when systems are expected to produce outputs for any unseen input. In this book, we focus on the second set of metrics, so-called Quality Estimation (QE) metrics, where the goal is to provide an estimate on how good or reliable the texts produced by an application are without access to gold-standard outputs. QE enables different types of evaluation that can target different types of users and applications. Machine learning techniques are used to build QE models with various types of quality labels and explicit features or learnt representations, which can then predict the quality of unseen system outputs. This book describes the topic of QE for text-to-text applications, covering quality labels, features, algorithms, evaluation, uses, and state-of-the-art approaches. It focuses on machine translation as application, since this represents most of the QE work done to date. It also briefly describes QE for several other applications, including text simplification, text summarization, grammatical error correction, and natural language generation.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

148

Publisher

Springer Nature

Published Date

ISBN 10

3031021681

ISBN 13

9783031021688

Quality Estimation for Machine Translation

By: Lucia Specia,Carolina Scarton,Gustavo Henrique Paetzold

Write a review Read reviews Take a Quiz Solve Book Puzzle

Quality Estimation for Machine Translation

By: Lucia Specia,Carolina Scarton,Gustavo Henrique Paetzold

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

164

Publisher

Morgan & Claypool Publishers

Published Date

ISBN 10

1681733749

ISBN 13

9781681733746

Post-editing of Machine Translation

Processes and Applications

By: Laura Winther Balling,Michael Carl,Sharon O'Brian

Write a review Read reviews Take a Quiz Solve Book Puzzle

Post-editing of Machine Translation

Processes and Applications

By: Laura Winther Balling,Michael Carl,Sharon O'Brian

Post-editing is possibly the oldest form of human-machine cooperation for translation. It has been a common practice for just about as long as operational machine translation systems have existed. Recently, however, there has been a surge of interest in post-editing among the wider user community, partly due to the increasing quality of machine translation output, but also to the availability of free, reliable software for both machine translation and post-editing. As a result, the practices and processes of the translation industry are changing in fundamental ways. This volume is a compilation of work by researchers, developers and practitioners of post-editing, presented at two recent events on post-editing: The first Workshop on Post-editing Technology and Practice, held in conjunction with the 10th Conference of the Association for Machine Translation in the Americas, held in San Diego, in 2012; and the International Workshop on Expertise in Translation and Post-editing Research and Application, held at the Copenhagen Business School, in 2012.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

335

Publisher

Cambridge Scholars Publishing

Published Date

ISBN 10

1443857971

ISBN 13

9781443857970

Book's by Lucia Specia

Quality Estimation for Machine Translation

Quality Estimation for Machine Translation

Quality Estimation for Machine Translation

Quality Estimation for Machine Translation

Post-editing of Machine Translation

Post-editing of Machine Translation

Username

Password

Username

Password

Password again

Birthday

Email