This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.
This book provides a comprehensive discussion of Adaptable Design (AD). It covers the conception, method, and application of AD to the real-world product design. AD's benefits are substantial as it upgrades, reuses, remanufactures and recycles products throughout the product lifecycle. It rapidly adapts the existing design in development of new designs. Key elements of AD include rationalized function structures, adaptable product architectures, adaptable interfaces, and adaptability evaluations. The main feature of AD is adaptability in design methods and product applications with general and specific adaptability. AD has also modeling and evaluating adaptabilities.
This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT). It helps advance conventional SMT to linguistically motivated SMT by enhancing the following three essential components: translation, reordering and bracketing models. It also serves the purpose of promoting the in-depth study of the impacts of linguistic knowledge on machine translation. Finally it provides a systematic introduction of Bracketing Transduction Grammar (BTG) based SMT, one of the state-of-the-art SMT formalisms, as well as a case study of linguistically motivated SMT on a BTG-based platform.
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