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Titlebook: Linguistically Motivated Statistical Machine Translation; Models and Algorithm Deyi Xiong,Min Zhang Book 2015 Springer Science+Business Med

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樓主
發(fā)表于 2025-3-21 17:10:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linguistically Motivated Statistical Machine Translation
副標(biāo)題Models and Algorithm
編輯Deyi Xiong,Min Zhang
視頻videohttp://file.papertrans.cn/587/586715/586715.mp4
概述Provides solutions for open problems concerning the integration of linguistic knowledge into SMT.Helps readers to better understand the effects and impacts of linguistic knowledge on machine translati
圖書封面Titlebook: Linguistically Motivated Statistical Machine Translation; Models and Algorithm Deyi Xiong,Min Zhang Book 2015 Springer Science+Business Med
描述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.
出版日期Book 2015
關(guān)鍵詞Bracketing model; Bracketing transduction grammar; Language model; Linguistically motivated statistical
版次1
doihttps://doi.org/10.1007/978-981-287-356-9
isbn_softcover978-981-10-1365-2
isbn_ebook978-981-287-356-9
copyrightSpringer Science+Business Media Singapore 2015
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:28:14 | 只看該作者
Deyi Xiong,Min Zhang35. The main objective of the paper was to establish the essential (abstract) properties of the concepts of linear dependence and independence in vector spaces, and to use these for the axiomatic definition of a new algebraic object, namely the matroid. Furthermore, Whitney showed that these axioms
板凳
發(fā)表于 2025-3-22 01:26:02 | 只看該作者
Deyi Xiong,Min Zhang35. The main objective of the paper was to establish the essential (abstract) properties of the concepts of linear dependence and independence in vector spaces, and to use these for the axiomatic definition of a new algebraic object, namely the matroid. Furthermore, Whitney showed that these axioms
地板
發(fā)表于 2025-3-22 08:22:23 | 只看該作者
BTG-Based SMT,the model and decoding algorithm that does not integrate language model. We then present an algorithm to integrate standard .-gram language models into the decoder. Following that, we describe two extensions to these traditional language models: a backward language model that augments the convention
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發(fā)表于 2025-3-22 10:58:09 | 只看該作者
Syntactically Annotated Reordering,sophy behind the model is that reordering under the ITG constraint is considered as a binary classification problem. We therefore build a maximum entropy classification model to predict the order . {.} whenever we apply a BTG bracketing rule to merge two neighboring phrases. As syntax knowledge can
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發(fā)表于 2025-3-22 16:32:42 | 只看該作者
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發(fā)表于 2025-3-22 19:31:41 | 只看該作者
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發(fā)表于 2025-3-22 21:28:31 | 只看該作者
Linguistically Motivated Bracketing,ntroduce a . approach in this chapter that directly determines whether a source segment can be bracketed and translated as a unit or not. We achieve this by using high-level information: syntactic and semantic structure knowledge. In the syntax-driven bracketing model, we employ syntactic knowledge
9#
發(fā)表于 2025-3-23 05:14:49 | 只看該作者
Translation Rule Selection with Document-Level Semantic Information,slation rule selection is a task of selecting appropriate translation rules for an ambiguous source-language segment. We represent the gist of a document as the topic of the document. Therefore we introduce two topic-based models for translation rule selection which incorporates global topic informa
10#
發(fā)表于 2025-3-23 05:52:13 | 只看該作者
Translation Error Detection with Linguistic Features,chine translation quality. The previous work is largely based on confidence estimation using system-based features, such as word posterior probabilities calculated from .-best lists or word lattices. We propose to incorporate two groups of linguistic features, which convey information from outside m
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