a scalable probabilistic classifier for language modeling
Báo cáo khoa học: "A Scalable Probabilistic Classifier for Language Modeling" pdf
... Ducharme, P. Vincent, and C. Jauvin. 2003. A Neural Probabilistic Language Model. Journal ofMachine Learning Research, 3:1137–1155. A. Berger, V. Della Pietra, and S. Della Pietra. 1996. A Maximum ... CategorizationResearch. Journal of Machine Learning Research,5:361–397. A. Mnih and G. Hinton. 2008. A Scalable HierarchicalDistributed Language Model. In Advances in NeuralInformation Processing ... Discrimi-native n-gram Language Modeling. Computer, Speechand Language, 21:373–392.R. Rosenfeld. 1994. Adaptive Statistical Language Mod-elling: A Maximum Entropy Approach. Ph.D. thesis,Carnegie...
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Tài liệu Báo cáo khoa học: "Discriminative Lexicon Adaptation for Improved Character Accuracy – A New Direction in Chinese Language Modeling" pptx
... increased character accuracy to the relat iveincreased MAP for the three lexicon adaptation ap-proaches are different. A key factor making theproposed LAICA approach advantageous is thatwe ... replaced by characters, we cantreat words as a means to enhance character recog-nition accuracy. Such arguments stand at least for Chinese ASR since they evaluate on character errorrate and ... ofOriental Languages, 12(1):99–121.Jianfeng Gao, Joshua Goodman, Mingjing Li, and Kai-Fu Lee. 2002. Toward a unified approach to statis-tical language modeling for Chinese. ACM Trans-action on Asian...
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Some studies on a probabilistic framework for finding object-oriented information in unstructured data
... S. Jayram, Rajasekar Krishna-murthy, Sriram Raghavan, Shivakumar Vaithyanathan, and Huaiyu Zhu. Avatar information extraction system. IEEE Data Eng. Bull. [23] Sándor Dominich. The Modern Algebra ... learning framework, which overcomes the challenges about scalability and adaptability of the previous approaches. We have then adapted the probabilistic framework to a Vietnamese domain - real ... based. We also adapt the probabilistic framework to Vietnamese Real Estate domain and have a satisfactory result. 1.4 Chapter summary This chapter brought an overview of web-page problem and...
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In order to become competent in a foreign language, it is important for language learners not only to acquire new vocabularies and a new set of phonological and syntactic rules but also to learn what Wilson (1986)
... nóng ẩm quanh năm. Độ ẩm trung bình hằng năm từ 80 – 90 %. Thời tiết hai m a m a, nắng. M a m a kéo dài từ tháng tư đến tháng mười. Lượng m a dồi dào, 90% lượng m a tập trung vào m a m a. ĐBSCL ... thông qua các tài liệu có được c a các tác giả đi trước, qua thực tiễn lời ăn tiếng nói hằng ngày c a người dân đ a phương, luận văn nhằm tìm hiểu về định danh từ vựng c a PNNB, đ a ra những ... niệm “sự cố định (hay gắn) cho một kí hiệu ngôn ngữ một khái niệm – biểu niệm (signifikat) phản -47-đ a lí tự nhiên Nam Bộ mà chúng ta đang quan niệm hiện nay. Đây cũng là quan điểm trong việc...
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Tài liệu Báo cáo khoa học: "An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling" ppt
... epoch.3 Language Modeling Language modeling is important for many text pro-cessing applications, e.g., speech recognition or ma-chine translation, as well as for the kind of typ-ing application ... interfaces have yet to take full advan-tage of language models to ease or speed typing.In this demonstration, we will present a language- model enabled interface that is appropriate for themost ... straightforward, as we shalldemonstrate. See Roark et al. (2010) for methodsintegrating language modeling into grid scanning.2 RSVP based BCI and ERP ClassificationRSVP is an experimental...
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Tài liệu Báo cáo khoa học: "Discriminative Syntactic Language Modeling for Speech Recognition" pdf
... Murat Saraclar, and Michael Collins. 2005. Dis-criminative n-gram language modeling. Computer Speechand Language. submitted.Brian Roark. 200 1a. Probabilistic top-down parsing and lan-guage modeling. ... HLT-NAACL2004.Brian Roark, Murat Saraclar, and Michael Collins. 200 4a. Cor-rective language modeling for large vocabulary ASR with theperceptron algorithm. In Proc. ICASSP, pages 749–752.Brian ... Kenji Yamada, Alex Fraser, Shankar Kumar, LibinShen, David Smith, Katherine Eng, Viren Jain, Zhen Jin, andDragomir Radev. 2004. A smorgasbord of features for sta-tistical machine translation....
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Tài liệu Báo cáo khoa học: "GPSM: A GENERALIZED PROBABILISTIC SEMANTIC MODEL FOR AMBIGUITY RESOLUTION" pptx
... measure shows substantial im- provement in structural disambiguation over a syntax-based approach. 1. Introduction In a large natural language processing system, such as a machine translation ... R&D Road II, Science-Based Industrial Park Hsinchu, TAIWAN 30077, R.O.C. ABSTRACT In natural language processing, ambiguity res- olution is a central issue, and can be regarded as a ... information. Hence, we will show how to annotate a syntax tree so that various interpretations can be characterized differently. Semantic Tagging A popular linguistic approach to annotate a...
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Tài liệu Báo cáo khoa học: "A Terminological Simplification Transformation for Natural Language Question-Answering Systems" doc
... issues for natural -language systems which serve as interfaces to a database: the problems that arise in a module which maps the meaning representation to a second logical language for expressing ... [3] Codd,E.F. A Relational Model of Data for Large Shared Data Banks. CACM 13(6), June, 1970. [4] Barbara Grosz, Douglas E. Appelt, Paul Martin, and Fernando Pereira. TEAM: An Experiment ... Shaked - for the many pleasant and productive interactions I have had with them. References [1] Bates, Madeleine and Bobrow, Robert J. A Transportable Natural Language Interface for Information...
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Tài liệu Báo cáo khoa học: "A module that computes coordinative ellipsis for language generators that don’t" pdf
... hörte dass Hans einen Unfall hatteSusi heard that Hans an accident hadund dassfHansfsterben könnteand that Hans die might‘Susi heard that Hans had an accident andmight die’• Categorial ... Steedman (2000) for CombinatoryCategorial Grammar; Bateman, Matthiessen &Zeng (1999) for Functional Grammar. Genera-tors that do include an autonomous component for coordinative ellipsis (Dalianis, ... (Subject Gap in clauses with Fi-nite/Fronted verb). We describe a module(implemented in JAVA, with Germanand Dutch as target languages) that takesnon-elliptical coordinated clauses as in-put and...
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A Scalable and Explicit Event Delivery Mechanism for UNIX doc
... indicating which file descriptors are available for I/O. A member of the readfds set is available if thereis any available input data; a member of writefds is con-sidered writable if the available ... mechanism for UNIXGaurav Banga gaurav@netapp.comNetwork Appliance Inc., 2770 San Tomas Expressway, Santa Clara, CA 95051Jeffrey C. Mogul mogul@pa.dec.comCompaq Computer Corp. Western Research ... USENIX Annual Technical ConferenceMonterey, California, USA, June 6-11, 1999 A Scalable and Explicit EventDelivery Mechanism for UNIX_Gaurav Banga,Network Appliance Inc.Jeffrey C. MogulCompaq...
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Báo cáo khoa học: "A Probabilistic Model for Fine-Grained Expert Search" pptx
... behind the quadruple is that a query may be matched with phrases in various forms (denoted as topic here) and an expert candidate may appear with various name masks (denoted as person here), ... query expansion (Macdonald and Ounis, 2007), hierarchical lan-guage model (Petkova and Croft, 2006), and for- mal model generation (Balog et al., 2006; Fang et al., 2006). However, all of them ... Alias, new email (NAE) 7% / 0.4600 Ritiwari rti-wari@hotmail.com Table 1. Various masks and their ambiguity 1) Every occurrence of a candidate’s email address is normalized to the appropriate...
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Báo cáo khoa học: "Grammar Approximation by Representative Sublanguage: A New Model for Language Learning" potx
... generalization stepsFigure 2: Example of a simple grammar lattice. All grammars generate , and only generates ( is a common lexicon for all the grammars)3 A Grammar Lattice as a Search Space for ... USArambow@cs.columbia.eduAbstractWe propose a new language learning modelthat learns a syntactic-semantic grammarfrom a small number of natural language strings annotated with their semantics, ... 832–839,Prague, Czech Republic, June 2007.c2007 Association for Computational LinguisticsGrammar Approximation by Representative Sublanguage: A New Model for Language LearningSmaranda MuresanInstitute...
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Báo cáo khoa học: "A Word-Order Database for Testing Computational Models of Language Acquisition" docx
... acquisition. 2 The Language Domain Database The focus of the language domain database, (hereafter LDD), is to make readily available the different word order patterns that children are typically exposed ... may peruse sentences and their derivations. On this page a user may annotate the patterns and derivations however he or she wishes. All grammar settings and annotations are saved and available ... 1980, among many others). Although research in learnability theory is valuable and ongoing, there are several disadvantages to formal modeling of language acquisition: • Certain proofs may involve...
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Chord: A Scalable Peertopeer Lookup Service for Internet Applications pot
... ring. Assuming that the data Chordis being used to locate is cryptographically authenticated, this is a threat to availability of data rather than to authenticity. The sameapproach used above ... de-sired authentication, caching, replication, and user-friendly namingof data. Chord’s flat key space eases the implementation of thesefeatures. For example, an application could authenticate data ... mechanism also helps higher layer softwarereplicate data. A typical application using Chord might store repli-cas of the data associated with a key at the nodes succeeding thekey. The fact that...
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- a scalable architecture for discrete
- a new model for language learning
- a scalable probabilistic classifier
- a generative probabilistic ocr model for nlp applications
- a generative probabilistic model for multi label classification
- discriminative syntactic language modeling for speech recognition
- a unified approach to statistical language modeling for chinese
- a unified statistical methodology for modeling fatigue damage
- discriminative n gram language modeling for turkish
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