Author: Bonnie Jean Dorr
Publisher:
ISBN:
Category : Machine translating
Languages : en
Pages : 74
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Book Description
Abstract: "This document reports on research conducted at the University of Maryland for the Korean/English Machine Translation (MT) project. The translation approach adopted here is interlingual i.e., a single underlying representation called Lexical Conceptual Structure (LCS) is used for both Korean and English. The primary focus of this investigation concerns the notion of 'parameterization' i.e., a mechanism that accounts for both syntactic and lexical-semantic distinctions between Korean and English. We present our assumptions about the syntactic structure of Korean-type languages vs. English-type languages and describe our investigation of syntactic parameterization for distinguishing between these two types of languages. We also present the details of the LCS structure and describe how this representation is parameterized so that it accomodates both languages. We address critical issues concerning interlingual machine translation such as locative postpositions and the dividing line between the interlingua and the knowledge representation. Difficulties in translation and transliteration of Korean are discussed and complex morphological properties of Korean are presented. Finally, we describe recent work on lexical acquisition and conclude with a discussion about two hypotheses concerning semantic classification that are currently being tested."
Author:
Publisher:
ISBN:
Category : Korean language
Languages : en
Pages : 220
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Book Description
Author: Sandra Kubler
Publisher: Springer Nature
ISBN: 3031021312
Category : Computers
Languages : en
Pages : 115
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Book Description
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts
Author: H. Bunt
Publisher: Springer Science & Business Media
ISBN: 1402022956
Category : Computers
Languages : en
Pages : 408
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Book Description
Parsing can be defined as the decomposition of complex structures into their constituent parts, and parsing technology as the methods, the tools, and the software to parse automatically. Parsing is a central area of research in the automatic processing of human language. Parsers are being used in many application areas, for example question answering, extraction of information from text, speech recognition and understanding, and machine translation. New developments in parsing technology are thus widely applicable. This book contains contributions from many of today's leading researchers in the area of natural language parsing technology. The contributors describe their most recent work and a diverse range of techniques and results. This collection provides an excellent picture of the current state of affairs in this area. This volume is the third in a series of such collections, and its breadth of coverage should make it suitable both as an overview of the current state of the field for graduate students, and as a reference for established researchers.
Author: G. J. van der Steen
Publisher:
ISBN:
Category : Computational linguistics
Languages : en
Pages : 306
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Book Description
Author: Dick Grune
Publisher: Springer Science & Business Media
ISBN: 0387689540
Category : Computers
Languages : en
Pages : 677
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Book Description
This second edition of Grune and Jacobs’ brilliant work presents new developments and discoveries that have been made in the field. Parsing, also referred to as syntax analysis, has been and continues to be an essential part of computer science and linguistics. Parsing techniques have grown considerably in importance, both in computer science, ie. advanced compilers often use general CF parsers, and computational linguistics where such parsers are the only option. They are used in a variety of software products including Web browsers, interpreters in computer devices, and data compression programs; and they are used extensively in linguistics.
Author: H. Bunt
Publisher: Springer Science & Business Media
ISBN: 9401594708
Category : Language Arts & Disciplines
Languages : en
Pages : 277
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Book Description
Parsing technology is concerned with finding syntactic structure in language. In parsing we have to deal with incomplete and not necessarily accurate formal descriptions of natural languages. Robustness and efficiency are among the main issuesin parsing. Corpora can be used to obtain frequency information about language use. This allows probabilistic parsing, an approach that aims at both robustness and efficiency increase. Approximation techniques, to be applied at the level of language description, parsing strategy, and syntactic representation, have the same objective. Approximation at the level of syntactic representation is also known as underspecification, a traditional technique to deal with syntactic ambiguity. In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity. The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.
Author: Gerry T. M. Altmann
Publisher: Psychology Press (UK)
ISBN:
Category : Computers
Languages : en
Pages : 384
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Book Description
Author: R. C. Berwick
Publisher: Springer Science & Business Media
ISBN: 0792311736
Category : Computers
Languages : en
Pages : 424
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Book Description
Author: Ruifang Ge
Publisher:
ISBN:
Category :
Languages : en
Pages : 298
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Book Description
Natural language understanding is a sub-field of natural language processing, which builds automated systems to understand natural language. It is such an ambitious task that it sometimes is referred to as an AI-complete problem, implying that its difficulty is equivalent to solving the central artificial intelligence problem -- making computers as intelligent as people. Despite its complexity, natural language understanding continues to be a fundamental problem in natural language processing in terms of its theoretical and empirical importance. In recent years, startling progress has been made at different levels of natural language processing tasks, which provides great opportunity for deeper natural language understanding. In this thesis, we focus on the task of semantic parsing, which maps a natural language sentence into a complete, formal meaning representation in a meaning representation language. We present two novel state-of-the-art learned syntax-based semantic parsers using statistical syntactic parsing techniques, motivated by the following two reasons. First, the syntax-based semantic parsing is theoretically well-founded in computational semantics. Second, adopting a syntax-based approach allows us to directly leverage the enormous progress made in statistical syntactic parsing. The first semantic parser, Scissor, adopts an integrated syntactic-semantic parsing approach, in which a statistical syntactic parser is augmented with semantic parameters to produce a semantically-augmented parse tree (SAPT). This integrated approach allows both syntactic and semantic information to be available during parsing time to obtain an accurate combined syntactic-semantic analysis. The performance of Scissor is further improved by using discriminative reranking for incorporating non-local features. The second semantic parser, SynSem, exploits an existing syntactic parser to produce disambiguated parse trees that drive the compositional semantic interpretation. This pipeline approach allows semantic parsing to conveniently leverage the most recent progress in statistical syntactic parsing. We report experimental results on two real applications: an interpreter for coaching instructions in robotic soccer and a natural-language database interface, showing that the improvement of Scissor and SynSem over other systems is mainly on long sentences, where the knowledge of syntax given in the form of annotated SAPTs or syntactic parses from an existing parser helps semantic composition. SynSem also significantly improves results with limited training data, and is shown to be robust to syntactic errors.
