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Author: Markus Stengel
Publisher: Diplomica Verlag
ISBN: 3836656272
Category : Computers
Languages : en
Pages : 159
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Book Description
Learning a second language is often difficult. One major reason for this is the way we learn: We try to translate the words and concepts of the other language into those of our own language. As long as the languages are fairly similar, this works quite well. However, when the languages differ to a great degree, problems are bound to appear. For example, to someone whose first language is French, English is not difficult to learn. In fact, he can pick up any English book and at the very least recognize words and sentences. But if he is tasked with reading a Japanese text, he will be completely lost: No familiar letters, no whitespace, and only occasionally a glyph that looks similar to a punctuation mark appears. Nevertheless, anyone can learn any language. Correct pronunciation and understanding alien utterances may be hard for the individual, but as soon as the words are transcribed to some kind of script, they can be studied and - given some time - understood. The script thus offers itself as a reliable medium of communication. Sometimes the script can be very complex, though. For instance, the Japanese language is not much more difficult than German - but the Japanese script is. If someone untrained in the language is given a Japanese book and told to create a list of its vocabulary, he will likely have to succumb to the task. Or does he not? Are there maybe ways to analyze the text, regardless of his unfamiliarity with this type of script and language? Should there not be characteristics shared by all languages which can be exploited? This thesis assumes the point of view of such a person, and shows how to segment a corpus in an unfamiliar language while employing as little previous knowledge as possible. To this end, a methodology for the analysis of unknown languages is developed. The single requirement made is that a large corpus in electronic form which underwent only a minimum of preprocessing is available. Analysis is limited strictly to the expression lev
Author: Markus Stengel
Publisher: Diplomica Verlag
ISBN: 3836656272
Category : Computers
Languages : en
Pages : 159
Get Book
Book Description
Learning a second language is often difficult. One major reason for this is the way we learn: We try to translate the words and concepts of the other language into those of our own language. As long as the languages are fairly similar, this works quite well. However, when the languages differ to a great degree, problems are bound to appear. For example, to someone whose first language is French, English is not difficult to learn. In fact, he can pick up any English book and at the very least recognize words and sentences. But if he is tasked with reading a Japanese text, he will be completely lost: No familiar letters, no whitespace, and only occasionally a glyph that looks similar to a punctuation mark appears. Nevertheless, anyone can learn any language. Correct pronunciation and understanding alien utterances may be hard for the individual, but as soon as the words are transcribed to some kind of script, they can be studied and - given some time - understood. The script thus offers itself as a reliable medium of communication. Sometimes the script can be very complex, though. For instance, the Japanese language is not much more difficult than German - but the Japanese script is. If someone untrained in the language is given a Japanese book and told to create a list of its vocabulary, he will likely have to succumb to the task. Or does he not? Are there maybe ways to analyze the text, regardless of his unfamiliarity with this type of script and language? Should there not be characteristics shared by all languages which can be exploited? This thesis assumes the point of view of such a person, and shows how to segment a corpus in an unfamiliar language while employing as little previous knowledge as possible. To this end, a methodology for the analysis of unknown languages is developed. The single requirement made is that a large corpus in electronic form which underwent only a minimum of preprocessing is available. Analysis is limited strictly to the expression lev
Author:
Publisher: Elsevier
ISBN: 0444640436
Category : Mathematics
Languages : en
Pages : 537
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Book Description
Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more
Author: Alexander Clark
Publisher: John Wiley & Sons
ISBN: 1118448677
Category : Language Arts & Disciplines
Languages : en
Pages : 802
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Book Description
This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies
Author: W.J. Savitch
Publisher: Springer Science & Business Media
ISBN: 9400934017
Category : Computers
Languages : en
Pages : 462
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Book Description
Ever since Chomsky laid the framework for a mathematically formal theory of syntax, two classes of formal models have held wide appeal. The finite state model offered simplicity. At the opposite extreme numerous very powerful models, most notable transformational grammar, offered generality. As soon as this mathematical framework was laid, devastating arguments were given by Chomsky and others indicating that the finite state model was woefully inadequate for the syntax of natural language. In response, the completely general transformational grammar model was advanced as a suitable vehicle for capturing the description of natural language syntax. While transformational grammar seems likely to be adequate to the task, many researchers have advanced the argument that it is "too adequate. " A now classic result of Peters and Ritchie shows that the model of transformational grammar given in Chomsky's Aspects [IJ is powerful indeed. So powerful as to allow it to describe any recursively enumerable set. In other words it can describe the syntax of any language that is describable by any algorithmic process whatsoever. This situation led many researchers to reasses the claim that natural languages are included in the class of transformational grammar languages. The conclu sion that many reached is that the claim is void of content, since, in their view, it says little more than that natural language syntax is doable algo rithmically and, in the framework of modern linguistics, psychology or neuroscience, that is axiomatic.
Author: M. Bar-Hillel
Publisher: Springer Science & Business Media
ISBN: 9401017131
Category : Language Arts & Disciplines
Languages : en
Pages : 242
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Book Description
In June 22-27,1970, an International Working Symposium on Pragmatics of Natural Languages took place in Jerusalem under the auspices of The Israel Academy of Sciences and Humanities and the Division of Logic, Methodology and Philosophy of Science of the International Union of History and Philosophy of Science.! Some thirty philosophers, logicians, linguists, and psychologists from Israel, U.S.A., West-Germany, England, Belgium, France, Scotland, and Denmark met in seven formal and a number of informal sessions in order to discuss some ofthe problems around the use and acquisition oflanguage which in the eyes of an increasing number of scholars have been left under treated in the recent upsurge ofinterest in theoretical linguistics and philos ophy of language. More specifically, during the formal sessions the following topics were discussed: The validity of the syntactics-seman tics-pragmatics trichotomy The present state of the competence-performance issue Logic and linguistics The New Rhetoric Speech acts Language acquisition. The participants in the Symposium distributed among themselves re prints and preprints of relevant material, partly in advance of the meeting, partly at its beginning. Each session was introduced by one or two modera tors, and summaries of each day's proceedings were prepared and distri buted the next day. The participants were invited to submit papers after the symposium, written under its impact. The eleven essays published here are the result.
Author: Tobias Kuhn
Publisher: Springer
ISBN: 3642326129
Category : Mathematics
Languages : en
Pages : 194
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Book Description
This book constitutes the refereed proceedings of the Third International Workshop on Controlled Natural Language, CNL 2012, held in Zurich, Switzerland, in August 2012. The 12 revised papers presented in this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on CNL for knowledge representation, CNL for interactive systems, CNL applications, CNL grammars and lexica, CNL in the context of the Semantic Web and Linked Open Data and CNL use cases.
Author: dr. ir. Andries Van Renssen
Publisher: Lulu.com
ISBN: 1304603768
Category : Computers
Languages : en
Pages : 239
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Book Description
Formalized natural languages, such as Formalized English and Formalized Dutch, are powerful extensible languages and ontologies for information and knowledge modeling. The languages enable electronic data storage and data exchange in a neutral and system independent way. They also enable terminology standardization, automated translation, data integration and interoperability of systems. Formal English can be used as a basis for the creation of universal databases and interfaces between systems or to standardize the content of systems and to integrate data from different sources. It is the 2nd edition of Gellish, a Generic Extensible Ontological Language.
Author: Tapio Salakoski
Publisher: Springer Science & Business Media
ISBN: 3540373349
Category : Computers
Languages : en
Pages : 784
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Book Description
This book constitutes the refereed proceedings of the 5th International Conference on Natural Language Processing, FinTAL 2006, held in Turku, Finland in August 2006. The book presents 72 revised full papers together with 1 invited talk and the extended abstracts of 2 invited keynote addresses. The papers address all current issues in computational linguistics and monolingual and multilingual intelligent language processing - theory, methods and applications.
Author: Farid Meziane
Publisher: Springer
ISBN: 354027779X
Category : Computers
Languages : en
Pages : 447
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Book Description
Welcome to NLDB04, the Ninth International Conference on the Application of Natural Language to Information Systems, held at the University of Salford, UK d- ing June 23-25, 2004. NLDB04 follows on the success of previous conferences held since 1995. Early conferences then known as Application of Natural Language to Databases, hence the acronym NLDB, were used as a forum to discuss and disse- nate research on the integration of natural language and databases and were mainly concerned with natural language based queries, database modelling and user int- faces that facilitate access to information. The conference has since moved to enc- pass all aspects of Information Systems and Software Engineering. Indeed, the use of natural language in systems modelling has greatly improved the development process and benefited both developers and users at all stages of the software development process. The latest developments in the field of natural language and the emergence of new technologies has seen a shift towards storage of large semantic electronic dictionaries, their exploitation and the advent of what is now known as the semantic web. Inf- mation extraction and retrieval, document and content management, ontology dev- opment and management and natural language conversational systems are becoming regular tracks in the last NLDB conferences. NLDB04 has seen a 50% increase in the number of submissions and has est- lished itself as one of the leading conferences in the area of applying natural language to information systems in its broader sense.
Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262354578
Category : Computers
Languages : en
Pages : 536
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Book Description
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
