Showing 21 - 40 results of 528 for search '"Parsing"', query time: 0.06s Refine Results
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    Principle-Based Parsing for Machine Translation by Dorr, Bonnie J.

    Published 2004
    “…Many syntactic parsing strategies for machine translation systems are based entirely on context-free grammars. …”
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  3. 23

    Automated Program Recognition by Graph Parsing by Wills, Linda M.

    Published 2004
    “…Recognizing standard computational structures (cliches) in a program can help an experienced programmer understand the program. We develop a graph parsing approach to automating program recognition in which programs and cliches are represented in an attributed graph grammar formalism and recognition is achieved by graph parsing. …”
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  4. 24

    Improving statistical parsing by linguistic regularization by Berwick, Robert C., Malioutov, Igor Mikhailovich

    Published 2012
    “…Here we explore ways to use this information to “unwind” derivations, yielding a regularized underlying syntactic structure that can be used as an additional source of information for more accurate parsing. In effect, we make use of two joint sets of tree structures for parsing: the surface structure and its corresponding underlying structure where arguments have been restored to their canonical positions. …”
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    Article
  5. 25

    Selective Sharing for Multilingual Dependency Parsing by Naseem, Tahira, Barzilay, Regina, Globerson, Amir

    Published 2014
    “…We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. …”
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    Article
  6. 26

    Scene parsing with deep neural networks by Ding, Henghui

    Published 2020
    “…In this thesis, we address the fundamental and challenging task of scene parsing. Scene parsing (also known as semantic segmentation, scene segmentation, scene labeling) aims to classify every pixel of a given image to one of the predefined semantic categories (e.g., person, car, etc.), including not only countable objects (e.g. person, car, cat) but also uncountable stuff (e.g. road, grass, sky). …”
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    Thesis-Doctor of Philosophy
  7. 27

    Body parts parsing for people in occlusion by Choon, Hao Wei

    Published 2015
    “…While integrating with a classifier (SVM) for parsing the occlusion body parts, the result improved close to 30% in performance.…”
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    Final Year Project (FYP)
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    Non-Projective Parsing for Statistical Machine Translation by Carreras Perez, Xavier, Collins, Michael

    Published 2010
    “…Inspired by work in discriminative dependency parsing, the key idea in our approach is to allow highly flexible reordering operations during parsing, in combination with a discriminative model that can condition on rich features of the source-language string. …”
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    Article
  14. 34

    Parsing Protocols Using Problem Solving Grammars by Miller, Mark L., Goldstein, Ira P.

    Published 2004
    “…The grammar is used to reveal the constituent structure of problem solving episodes, by parsing protocols in which programs are written, tested and debugged. …”
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    3D virtual try-on with human parsing by Tay, Yu Xuan

    Published 2023
    “…This project aims to utilise a computer vision technique known as human parsing, which is a pixel level classification task, to perform a virtual try-on. …”
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    Final Year Project (FYP)
  18. 38

    Exploiting semantic information for HPSG parse selection by Fujita, Sanae, Bond, Francis, Oepen, Stephan, Tanaka, Takaaki

    Published 2010
    “…In this paper we present a framework for experimentation on parse selection using syntactic and semantic features. …”
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    Conference Paper
  19. 39

    Parse tree visualization for Malay sentence (BMTutor) by Muhamad Noor, Yusnita, Jamaludin, Zulikha

    Published 2015
    “…An algorithm in designing BMTutor is discussed in this paper.The algorithm of the software is done sequentially as followed: 1) tokenizing 2) checking the number of words, 3) searching and comparing process to check the spelling or conjunctions, 4) assigning each word with a certain word class, 5) matching with rules, and 6) delivering/producing output (sentence correction or parse tree visualization, word attribute components, and parse tree from sentence examples).Based on the testing conducted, output from the development process shows that the prototype can correct all 15 invalid sentences and can produce parse tree visualization for all 20 sentences.…”
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    Article
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