Theory and Applications of Natural Language Processing / Hybrid Approaches to Machine Translatio

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.

 

Marta R. Costa-jussà is a MarieCurie fellow at the Universitat Politècnica de Catalunya (UPC, Barcelona). Her research expertise is in machine translation and automatic speech recognition, including both experience in hybrid methodologies and scarce resources. She received her PhD from the UPC in 2008.

She has worked at LIMSI-CNRS, Universitat Pompeu Fabra, Barcelona Media Innovation Center, Universidade de São Paulo, Institute for Infocomm Research and Instituto Politécnico Nacional. She has received prestigious and competitive fellowships including a Ramon y Cajal. She has participated in 12 European and National (Spanish, French and Brazilian) projects. She has organized 7 conferences/workshops among which there is the ACL Workshops on "Hybrid Approaches to Translation", done more than 20 invited talks and published over 100 papers in international scientific journals and conferences receiving several awards. She has been cooperating with companies (TaUYou, UniversalDoctor and bmmt) as a consultant.



Reinhard Rapp received a PhD in Information Science from the University of Konstanz and is currently a member of faculty and a Marie Curie researcher at the University of Mainz, Department of Translation Studies, Linguistics and Cultural Studies. His research and teaching centers around language technology, with focus on machine translation, computer-assisted translation, comparable corpora, and lexical semantics. He has co-authored and co-edited more than 150 publications, among them 25 books and proceedings.



Patrik Lambert received a master's degree in Physics from McGill University. He completed, in 2008, a PhD in Artificial Intelligence at the Universitat Politècnica de Catalunya (UPC). He then worked as post-doctoral researcher at the Center for Next Generation Localisation in Dublin City University. In 2009 he joined the LST group at Le Mans University as post- doctoral researcher. He

"As the chapters are mostly self-contained, the book can be useful for a wide range of readers. It is primarily devoted to MT specialists in wider fields like computational linguistics and machine learning. It is also useful for 'translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.' It could also be useful for university teachers and students for courses that are devoted to NLP." (M. Ivanovic, Computing Reviews, January, 2017)