Linguistically Motivated Statistical Machine Translation: Models and Algorithms
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 mod...
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2016
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oai:scholar.dlu.edu.vn:DLU123456789-602162023-11-11T07:18:06Z Linguistically Motivated Statistical Machine Translation: Models and Algorithms Xiong, Deyi Zhang, Min General Computers Machine translating Computational linguistics 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. 2016-05-05T02:03:06Z 2016-05-05T02:03:06Z 2015 Book 978-981-287-356-9 978-981-287-355-2 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/60216 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
General Computers Machine translating Computational linguistics |
| spellingShingle |
General Computers Machine translating Computational linguistics Xiong, Deyi Zhang, Min Linguistically Motivated Statistical Machine Translation: Models and Algorithms |
| description |
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. |
| format |
Book |
| author |
Xiong, Deyi Zhang, Min |
| author_facet |
Xiong, Deyi Zhang, Min |
| author_sort |
Xiong, Deyi |
| title |
Linguistically Motivated Statistical Machine Translation:
Models and Algorithms |
| title_short |
Linguistically Motivated Statistical Machine Translation:
Models and Algorithms |
| title_full |
Linguistically Motivated Statistical Machine Translation:
Models and Algorithms |
| title_fullStr |
Linguistically Motivated Statistical Machine Translation:
Models and Algorithms |
| title_full_unstemmed |
Linguistically Motivated Statistical Machine Translation:
Models and Algorithms |
| title_sort |
linguistically motivated statistical machine translation:
models and algorithms |
| publisher |
Springer |
| publishDate |
2016 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/60216 |
| _version_ |
1782535472340271104 |