Author : Francis Bond
Publisher : Center for the Study of Language and Information Publica Tion
Page : 0 pages
File Size : 19,40 MB
Release : 2016
Category : Computational linguistics
ISBN : 9781575867533
"Readings in Japanese Natural Language Processing" provides a broad range of morphology and syntactic analysis, discourse, and Natural Language Process applications. These carefully selected papers broaden the scope of linguistic phenomena in the Japanese language. It is an indispensable volume that presents these techniques in a manner accessible to those with little or no familiarity with Japanese.
Author : Sergei Nirenburg
Publisher : MIT Press
Page : 444 pages
File Size : 10,95 MB
Release : 2003
Category : Computers
ISBN : 9780262140744
The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.
Author : Chu-Ren Huang
Publisher :
Page : 288 pages
File Size : 24,43 MB
Release : 1996
Category : Chinese language
ISBN :
Author : Natalie J Hamilton
Publisher :
Page : 274 pages
File Size : 14,56 MB
Release : 2019-02-15
Category :
ISBN : 9780648488606
Memorising kanji readings is one of the biggest hurdles when learning Japanese. The Kanji Code teaches a systematic method of learning the readings of kanji or Chinese characters. By studying phonetic components and other visual clues, students of Japanese can reduce their reliance on rote memorisation and feel more in control of their learning.
Author : Hiroshi Nara
Publisher : University of Hawaii Press
Page : 341 pages
File Size : 22,65 MB
Release : 2002-09-30
Category : Foreign Language Study
ISBN : 082486137X
Students who have completed a year of German read Brecht in their second year, those of Spanish read Cervantes. Teachers of first and second-year Japanese can often find nothing comparable. "Why aren't your students reading literature?" they are asked. "Why not Soseki? Or Murakami?" What are instructors of Japanese doing wrong? Nothing, according to the authors of this volume. Rather, they argue, such questions exemplify the gross misunderstandings and unreasonable expectations of teaching reading in Japanese. In Acts of Reading, the authors set out to explore what reading is for Japanese as a language, and how instructors should teach it to students of Japanese. They seek answers to two questions: What are the aspects of reading in Japan as manifested in Japanese society? What L2 (second-language) reading problems are specific to Japanese? In answering the first and related questions, the authors conclude that reading is a socially motivated, purposeful act that is savored and becomes a part of people's lives. Reading instruction in Japanese, therefore, should include teaching students how to work with text as the Japanese do in Japanese society. The second question relates more directly to traditional concerns in L2 reading. The authors begin with a general theory of reading. They then offer a welcome glimpse into the rich and complex perspectives-sometimes conflicting, other times symbiotic-on what reading is and how it is performed in L1 and L2, and, most importantly, on the web of interconnections between the phenomenology of reading and the demands it places on teaching approaches to reading in Japanese. With essays by Charles J. Quinn, Jr., Fumiko Harada, and Chris Brockett Foreword by J. Marshall Unger
Author :
Publisher :
Page : 512 pages
File Size : 42,39 MB
Release : 1981
Category : Energy policy
ISBN :
Author : John I. Tait
Publisher : Springer Science & Business Media
Page : 312 pages
File Size : 29,84 MB
Release : 2005-04-01
Category : Computers
ISBN : 9781402033438
Karen Spärck Jones is one of the major figures of 20th century and early 21st Century computing and information processing. Her ideas have had an important influence on the development of Internet Search Engines. Her contribution has been recognized by awards from the natural language processing, information retrieval and artificial intelligence communities, including being asked to present the prestigious Grace Hopper lecture. She continues to be an active and influential researcher. Her contribution to the scientific evaluation of the effectiveness of such computer systems has been quite outstanding. This book celebrates the life and work of Karen Spärck Jones in her seventieth year. It consists of fifteen new and original chapters written by leading international authorities reviewing the state of the art and her influence in the areas in which Karen Spärck Jones has been active. Although she has a publication record which goes back over forty years, it is clear even the very early work reviewed in the book can be read with profit by those working on recent developments in information processing like bioinformatics and the semantic web.
Author : Mark Maybury
Publisher : Morgan Kaufmann
Page : 670 pages
File Size : 36,40 MB
Release : 1998-04
Category : Computers
ISBN : 9781558604445
This is a compilation of the classic readings in intelligent user interfaces. This text focuses on intelligent, knowledge-based interfaces, combining spoken language, natural language processing, and multimedia and multimodal processing.
Author : Daniel Bikel
Publisher : IBM Press
Page : 829 pages
File Size : 20,53 MB
Release : 2012-05-11
Category : Business & Economics
ISBN : 0137047819
Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.
Author : Jacob Eisenstein
Publisher : MIT Press
Page : 535 pages
File Size : 28,4 MB
Release : 2019-10-01
Category : Computers
ISBN : 0262042843
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.
