Machine Learning in Translation Corpora Processing

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.

Key selling features:

• Investigates how to improve statistical machine speech translation between Polish and English
• Discusses the development of an automatic and robust Polish-to-English translation system
• Explores the development of bilingual textual resources by mining comparable corpora