Machine Learning in Translation Corpora Processing  book cover
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Machine Learning in Translation Corpora Processing





ISBN 9780367780203
Published March 31, 2021 by CRC Press
280 Pages

 
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Book Description

This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language and therefore require adaptation, and language resources are lacking in parallel and monolingual data. The main objective of this volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.



 

Table of Contents

Table of contents



 



Preface





Introduction



Background and context



Machine translation (MT)





Statistical machine translation and comparable corpora



Overview of SMT



Textual Components and Corpora



Moses Tool Environment For SMT



Aspects of SMT processing



Evaluation of SMT Quality





State of the Art



Current methods and results in spoken language translation



Recent methods in comparable corpora exploration





Author’s solutions to PL-EN corpora processing problems



Parallel data mining improvements



Multi-threaded, Tuned and GPU-accelerated Yalign



Tuning of Yalign method



Minor improvements in mining for Wikipedia exploration



Parallel data mining using other methods



SMT Metric Enhancements



Alignment and filtering of corpora



Baseline system training



Description of experiments





Results and conclusions



Machine translation results



Evaluation of obtained comparable corpora



Quasi comparable corpora exploration



Other fields of MT techniques application





Final conclusions





References







 





 

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Author(s)

Biography

Krzysztof Wołk holds a PhD Eng. degree in Computer Science, and is a graduate of the Polish-Japanese Academy of Information Technology. He is currently an associate professor at the Cathedral of Multimedia at the same university. His research is mostly related to natural language processing and machine learning based on statistical methods, neural networks and deep learning; and is interested in IT and its challenges, and engages in interdisciplinary projects, particularly those related to HCI, UX, medicine and psychology.



In addition, he has worked as a lecturer at the Warsaw School of Photography & Graphic Design, and as an IT trainer. His specialties as a teacher are primarily deep learning, machine learning, natural language processing, computational linguistics, multimedia, HCI, UX, mobile applications, HTML 5, Adobe applications and server products from Apple and Microsoft.



As far as his didactic work is concerned, he leads classrooms at the faculty of computer science and at the new media art department at the Polish-Japanese Academy of Information Technology and he also used to lead classes and lectures at the Warsaw School of Photography & Graphic Design.