作者: 好開玩笑 時間: 2025-3-21 22:28
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 作者: 做方舟 時間: 2025-3-22 01:26
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 作者: 螢火蟲 時間: 2025-3-22 08:22
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作者: 軍械庫 時間: 2025-3-22 10:58
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 作者: scrutiny 時間: 2025-3-22 16:32 作者: 巨碩 時間: 2025-3-22 19:31 作者: 擦試不掉 時間: 2025-3-22 21:28
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 作者: grieve 時間: 2025-3-23 05:14
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作者: helper-T-cells 時間: 2025-3-23 05:52
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作者: 鳥籠 時間: 2025-3-23 12:17 作者: Antecedent 時間: 2025-3-23 16:15
http://image.papertrans.cn/l/image/586715.jpg作者: 調(diào)味品 時間: 2025-3-23 22:03 作者: perimenopause 時間: 2025-3-24 00:39 作者: Institution 時間: 2025-3-24 05:33 作者: endure 時間: 2025-3-24 07:41 作者: GEM 時間: 2025-3-24 11:35 作者: 寬容 時間: 2025-3-24 17:49 作者: negotiable 時間: 2025-3-24 20:57 作者: grandiose 時間: 2025-3-25 01:24
cts and impacts of linguistic knowledge on machine translatiThis 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 esse作者: 有特色 時間: 2025-3-25 03:20 作者: 花束 時間: 2025-3-25 09:42
Translation Error Detection with Linguistic Features,achine translation systems, into error detection: lexical and syntactic features. We use a maximum entropy classifier to predict translation errors by integrating word posterior probability feature and linguistic features.作者: 河潭 時間: 2025-3-25 15:36 作者: 彩色 時間: 2025-3-25 18:44
Semantically Informed Reordering, the reference axis to estimate positions of its associated arguments on the target side. In this way, the model predicts moving directions of arguments relative to their predicates with semantic features.作者: Flawless 時間: 2025-3-25 23:15 作者: Forage飼料 時間: 2025-3-26 02:30 作者: 泥瓦匠 時間: 2025-3-26 05:41
Translation Rule Selection with Document-Level Semantic Information,lso present a topic sensitivity model to balance translation rule selection between generic rules and topic-specific rules. Furthermore, we project target-side topic distributions onto the source-side topic model space so that we can benefit from topic information of both the source and target langu作者: 軍械庫 時間: 2025-3-26 10:35
Deyi Xiong,Min Zhanges", cf. the treatise on transversal theory by L. Mirsky [26J. At roughly the same time R.P. Dilworth estab- lished the connection between matroids and lattice 978-3-540-07177-8978-3-642-48292-2Series ISSN 0075-8442 Series E-ISSN 2196-9957 作者: 使人入神 時間: 2025-3-26 12:36
Deyi Xiong,Min Zhanges", cf. the treatise on transversal theory by L. Mirsky [26J. At roughly the same time R.P. Dilworth estab- lished the connection between matroids and lattice 978-3-540-07177-8978-3-642-48292-2Series ISSN 0075-8442 Series E-ISSN 2196-9957 作者: 亞麻制品 時間: 2025-3-26 18:41 作者: 陶醉 時間: 2025-3-27 00:27
Linguistically Motivated Statistical Machine TranslationModels and Algorithm作者: BARK 時間: 2025-3-27 01:15 作者: CLAM 時間: 2025-3-27 06:08
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10樓作者: 高度表 時間: 2025-3-29 13:12
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