Machine Learning in Translation Corpora Processing
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A01=Krzysztof Wolk
Age Group_Uncategorized
Age Group_Uncategorized
Aspect Assignment
Author_Krzysztof Wolk
automatic-update
Category1=Non-Fiction
Category=CFX
Category=UMB
Category=UYQL
Comparable corpora
COP=United Kingdom
Corpora science
Delivery_Delivery within 10-20 working days
DNA Comparison
eq_bestseller
eq_computing
eq_dictionaries-language-reference
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Gap Penalty
GPU Optimization
IBM Model
Language_English
Machine learning
Machine Translation
Machine Translation System
Minimal Total Length
monolingual language model
MT System
NW Algorithm
Online Machine Translation System
PA=Available
Parallel corpora
Polish-to-English translation
Pre-processing Tools
Price_€100 and above
PS=Active
Reference Translations
Semantic Information
SMT
SMT System
softlaunch
Spoken Language Translation
statistical machine speech translation
Transitional Representation
Translation Memories
TTS
Word Alignment
Product details
- ISBN 9780367186739
- Weight: 596g
- Dimensions: 156 x 234mm
- Publication Date: 05 Mar 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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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.
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.
