Pattern matching

Xem 1-20 trên 128 kết quả Pattern matching
  • We present a pattern matching method for compiling a bilingual lexicon of nouns and proper nouns from unaligned, noisy parallel texts of Asian/Indo-European language pairs. Tagging information of one language is used. Word frequency and position information for high and low frequency words are represented in two different vector forms for pattern matching. New anchor point finding and noise elimination techniques are introduced. We obtained a 73.1% precision. We also show how the results can be used in the compilation of domain-specific noun phrases. ...

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  • Network intrusion detection system is used to inspect packet contents against thousands of predefined malicious or suspicious patterns. Because traditional software alone pattern matching approaches can no longer meet the high throughput of today’s networking, many hardware approaches are proposed to accelerate pattern matching.

    pdf9p dunglh2013 02-04-2014 14 0   Download

  • This paper describes a simple patternmatching algorithm for recovering empty nodes and identifying their co-indexed antecedents in phrase structure trees that do not contain this information. The patterns are minimal connected tree fragments containing an empty node and all other nodes co-indexed with it.

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  • Linux in a Nutshell covers the core commands available on common Linux distributions. This isn't a scaled-down quick reference of common commands, but a complete reference containing all user, programming, administration, and networking commands. Contents include: Commands with complete lists of options Shell syntax for the bash,and tcsh shells Pattern matching emacs, vi, and ex editing commands

    pdf944p tamminhth 12-10-2011 79 37   Download

  • We describe an algorithm for recovering non-local dependencies in syntactic dependency structures. The patternmatching approach proposed by Johnson (2002) for a similar task for phrase structure trees is extended with machine learning techniques. The algorithm is essentially a classifier that predicts a nonlocal dependency given a connected fragment of a dependency structure and a set of structural features for this fragment.

    pdf7p bunbo_1 17-04-2013 6 1   Download

  • We propose a method for analyzing long complex and compound sentences that utilizes global structure analysis with domain-specific pattern grammar. Previously, long sentence analysis with global information used the following methods: two-level analysis--global structure analysis of long sentences with domain-independent function words and parsing of their constituents[Doi et al., 1991], and pattern matching--adaptation of domain-specific fixed pattern to input sentences. By utilizing domaindependent information the latter method could analyze long sentences of that domain.

    pdf1p buncha_1 08-05-2013 22 1   Download

  • Data Structures and Algorithms: Text Processing! presents about Pattern Matching, Strings, Brute-Force Pattern Matching, Boyer-Moore Heuristics, Last-Occurrence Function, The Boyer-Moore Algorithm.

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  • We introduce a new method for learning to detect grammatical errors in learner’s writing and provide suggestions. The method involves parsing a reference corpus and inferring grammar patterns in the form of a sequence of content words, function words, and parts-of-speech (e.g., “play ~ role in Ving” and “look forward to Ving”). At runtime, the given passage submitted by the learner is matched using an extended Levenshtein algorithm against the set of pattern rules in order to detect errors and provide suggestions. ...

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  • This volume contains contributions written by authors who have all worked in some capacity with Judith Bishop during her distinguished career. When Judith reached a certain milestone in her age (and we will leave the reader to figure out which one), we had the idea of putting together this book in recognition of her career and her accomplishments. We contacted various researchers and industry professionals who have worked with Judith and asked them if they would be willing to contribute material for this book. Their responses were overwhelmingly positive.

    pdf179p hotmoingay3 09-01-2013 18 2   Download

  • In this paper, we describe a machine translation system called PalmTree which uses the "patternbased" approach as a fundamental framework. The pure pattern-based translation framework has several issues. One is the performance due to using many rules in the parsing stage, and the other is inefficiency of usage of translation patterns due to the exact-matching. To overcome these problems, we describe several methods; pruning techniques for the former, and introduction of example-based processing for the latter. ...

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  • In Information Retrieval (IR) in general and Question Answering (QA) in particular, queries and relevant textual content often significantly differ in their properties and are therefore difficult to relate with traditional IR methods, e.g. key-word matching. In this paper we describe an algorithm that addresses this problem, but rather than looking at it on a term matching/term reformulation level, we focus on the syntactic differences between questions and relevant text passages.

    pdf11p bunthai_1 06-05-2013 25 2   Download

  • C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer.

    pdf366p thanhdat1004 03-11-2009 348 163   Download

  • The book you hold in your hands is part of National Instruments and Prentice Hall PTR's Virtual Instrumentation series, covering the toolbox and function library IMAQ™ Vision, the IMAQ Vision Builder, and the NI Vision Builder for Automated Inspection, which are used for image processing, image analysis, and machine vision. It is intended for engineers and professionals, as well as for students, who want to take their first steps in the fields of image processing.

    pdf326p echbuon 02-11-2012 148 29   Download

  • Managing and Mining Graph Data part 1 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

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  • Data Structures and Algorithms: Table of Contents Data Structures and Algorithms Alfred V. Aho, Bell Laboratories, Murray Hill, New Jersey John E. Hopcroft, Cornell University, Ithaca, New York Jeffrey D.

    pdf620p rose_12 06-12-2012 39 12   Download

  • Managing and Mining Graph Data part 3 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

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  • Amazing! You’re actually reading this. That puts you into one of three categories: a student who is being forced to read this stuff for a class, someone who picked up this book by accident (probably because you have yet to be indoctrinated by the world at large), or one of the few who actually have an interest in learning assembly language.

    pdf1426p minhtin911 17-05-2011 62 10   Download

  • Managing and Mining Graph Data part 62 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

    pdf11p pretty15 20-10-2010 60 9   Download

  • Managing and Mining Graph Data part 2 is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area.

    pdf10p pretty15 20-10-2010 54 9   Download

  • CHAPTER 9 ■■■ Performing Form Validation with Regular Expressions It’s your responsibility as a developer to ensure that your users’ data is useful to your app, so you need to ensure that critical information is validated before storing it in your database. In the case of the calendar application, the date format is critical: if the format isn’t correct, the app will fail in several places.

    pdf10p yukogaru9 29-10-2010 33 8   Download

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