Sequences in Language and Text PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Sequences in Language and Text PDF full book. Access full book title Sequences in Language and Text by George K. Mikros. Download full books in PDF and EPUB format.
Author: George K. Mikros
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110394774
Category : Language Arts & Disciplines
Languages : en
Pages : 232
Get Book Here
Book Description
The edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.
Author: George K. Mikros
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110394774
Category : Language Arts & Disciplines
Languages : en
Pages : 232
Get Book Here
Book Description
The edited volume Sequences in Language and Text is the first collection of original research in the area of the quantitative analysis of sequentially organized linguistic data. Linguistic sequences are extremely useful textual structures in almost all areas of Language Technology. Character and word n-grams are by far the most successful features in text classification tasks such as authorship identification, text categorization, genre classification, sentiment analysis etc. Furthermore character linguistic sequences are the basis for linguistic modeling and subsequent applications such as speech recognition, language identification etc. In addition to the above language technology oriented research, the present volume aims to give insight to the theoretical value of linguistic sequences. Sequences in texts can be produced by a number of different factors, either external to the linguistic system or by its own grammatical structure. This volume hosts contributions which will analyze linguistic sequences using quantitative methods under the synergetic theoretical framework that can explain their role in the linguistic system.
Author: Mark Seidenberg
Publisher:
ISBN: 0465019323
Category : Science
Languages : en
Pages : 385
Get Book Here
Book Description
We’ve been teaching reading wrong—a leading cognitive scientist tells us how we can finally do it right
Author: Adam Pawłowski
Publisher: John Benjamins Publishing Company
ISBN: 9027258384
Category : Language Arts & Disciplines
Languages : en
Pages : 288
Get Book Here
Book Description
Specialists in quantitative linguistics the world over have recourse to a solid and universal methodology. These days, their methods and mathematical models must also respond to new communication phenomena and the flood of data produced daily. While various disciplines (computer science, media science) have different ways of processing this onslaught of information, the linguistic approach is arguably the most relevant and effective. This book includes recent results from many renowned contemporary practitioners in the field. Our target audiences are academics, researchers, graduate students, and others involved in linguistics, digital humanities, and applied mathematics.
Author: Anne Kao
Publisher: Springer Science & Business Media
ISBN: 1846287545
Category : Computers
Languages : en
Pages : 272
Get Book Here
Book Description
Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in the attempt to apply Natural Language Processing to text mining. This state-of-the-art survey is a must-have for advanced students, professionals, and researchers.
Author: Laurence Behrens
Publisher: Longman Publishing Group
ISBN:
Category : Education
Languages : en
Pages : 396
Get Book Here
Book Description
This brief rhetoric focuses on the key academic writing strategies of summary, synthesis, analysis, and critique. Responding to the growing interest in academic writing, this popular guide focuses on the critical reading and writing strategies necessary to help students interpret and incorporate source material into their own papers. The text employs high-interest readings from a range of disciplines to allow students to practice their summary and synthesis skills, while numerous student papers model the kinds of academic texts students are expected to produce, no matter what their area of study. Individuals who want help with writing up researched or documented papers.
Author: Norbert Schmitt
Publisher: John Benjamins Publishing
ISBN: 9781588115003
Category : Language Arts & Disciplines
Languages : en
Pages : 324
Get Book Here
Book Description
Formulaic sequences (FS) are now recognized as an essential element of language use. However, research on FS has generally been limited to a focus on description, or on the place of FS in L1 acquisition. This volume opens new directions in FS research, concentrating on how FS are acquired and processed by the mind, both in the L1 and L2. The ten original studies in the volume illustrate the L2 acquisition of FS, the relationship between L1 and L2 FS, the relationship between corpus recurrence of FS and their psycholinguistic reality, the processes involved in reading FS, and pedagogical issues in teaching FS. The studies use a wide range of methodologies, many of them innovative, and thus the volume serves as a model for future research in the area. The volume begins with three survey chapters offering a background on the characteristics and measurement of FS.
Author: Charles H.C. Little
Publisher: Springer
ISBN: 1493926519
Category : Mathematics
Languages : en
Pages : 483
Get Book Here
Book Description
This text gives a rigorous treatment of the foundations of calculus. In contrast to more traditional approaches, infinite sequences and series are placed at the forefront. The approach taken has not only the merit of simplicity, but students are well placed to understand and appreciate more sophisticated concepts in advanced mathematics. The authors mitigate potential difficulties in mastering the material by motivating definitions, results and proofs. Simple examples are provided to illustrate new material and exercises are included at the end of most sections. Noteworthy topics include: an extensive discussion of convergence tests for infinite series, Wallis’s formula and Stirling’s formula, proofs of the irrationality of π and e and a treatment of Newton’s method as a special instance of finding fixed points of iterated functions.
Author: János S. Petöfi
Publisher: Walter de Gruyter
ISBN: 3110862123
Category : Language Arts & Disciplines
Languages : en
Pages : 529
Get Book Here
Book Description
Text and Discourse Constitution: Empirical Aspects, Theoretical Approaches (Research in Text Theory.
Author: Mattis List
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110720086
Category : Language Arts & Disciplines
Languages : en
Pages : 328
Get Book Here
Book Description
The comparison of sound sequences (words, morphemes) constitutes the core of many techniques and methods in historical linguistics. With the help of these techniques, corresponding sounds can be determined, historically related words can be identified, and the history of languages can be uncovered. So far, the application of traditional techniques for sequence comparison is very tedious and time-consuming, since scholars have to apply them manually, without computational support. In this study, algorithms from bioinformatics are used to develop computational methods for sequence comparison in historical linguistics. The new methods automatize several steps of the traditional comparative method and can thus help to ease the painstaking work of language comparison.
Author: Peng Wang
Publisher: Taylor & Francis
ISBN: 100083865X
Category : Language Arts & Disciplines
Languages : en
Pages : 219
Get Book Here
Book Description
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation, stressing the need to empower translators with ML knowledge, through communication with ML users, developers, and programmers, and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows, including students on courses in translation and localization, language technology, and related areas. It supports the professional development of translation practitioners, so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.
