Author: Frank Van Eydne Publisher: Bloomsbury Publishing ISBN: 1474246559 Category : Language Arts & Disciplines Languages : en Pages : 258
Book Description
The key assumption in this text is that machine translation is not merely a mechanical process but in fact requires a high level of linguistic sophistication, as the nuances of syntax, semantics and intonation cannot always be conveyed by modern technology. The increasing dependence on artificial communication by private and corporate users makes this research area an invaluable element when teaching linguistic theory.
Author: Abdelhadi Soudi Publisher: John Benjamins Publishing ISBN: 9027273626 Category : Language Arts & Disciplines Languages : en Pages : 167
Book Description
This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry. It is a welcome and much-needed repository of important aspects in Arabic Machine Translation such as morphological analysis and syntactic reordering, both central to reducing the distance between Arabic and other languages. Most of the proposed techniques are also applicable to machine translation of Semitic languages other than Arabic, as well as translation of other languages with a complex morphology.
Author: John Lehrberger Publisher: John Benjamins Publishing ISBN: 9027286205 Category : Language Arts & Disciplines Languages : en Pages : 257
Book Description
The use of the computer in translating natural languages ranges from that of a translator's aid for word processing and dictionary lookup to that of a full-fledged translator on its own. However the obstacles to translating by means of the computer are primarily linguistic. To overcome them it is necessary to resolve the ambiguities that pervade a natural language when words and sentences are viewed in isolation. The problem then is to formalize, in the computer, these aspects of natural language understanding. The authors show how, from a linguistic point of view, one may form some idea of what goes on inside a system's black box, given only the input (original text) and the raw output (translated text before post-editing). Many examples of English/French translation are used to illustrate the principles involved.
Author: Alexander Täuschel Publisher: GRIN Verlag ISBN: 3640196074 Category : Literary Collections Languages : en Pages : 25
Book Description
Project Report from the year 2006 in the subject English Language and Literature Studies - Other, grade: 1,3, University of Frankfurt (Main) (Institut für England und Amerikastudien), course: Translation and Intercultural Communication, language: English, abstract: This paper will give a general overview of the venture that is machine translation with particular focus on linguistic aspects. It will display history of MT and will deal with some of the major issues in the realisation of MT like the difficulty of translating prepositions or integrating semantics, as well as the importance of real world knowledge. To illustrate these difficulties with examples on a basic level, a practice test with a moderately complex translation engine provided by Google has been carried out and will be explained. Finally, I am going to introduce three of the largest and most powerful translation machines currently in use. I will also give a brief over-view of methods of MT. The aim of this paper is to show that the realisation of the primal idea of machine translation in its original sense, which was to perform translation without human intervention (except during the construction phase of the system), is still markedly far away at present and machines are still unlikely to take over the jobs of human translators.
Author: Oliver Czulo Publisher: Language Science Press ISBN: 3946234267 Category : Linguistics Languages : en Pages : 215
Book Description
Contrastive Linguistics (CL), Translation Studies (TS) and Machine Translation (MT) have common grounds: They all work at the crossroad where two or more languages meet. Despite their inherent relatedness, methodological exchange between the three disciplines is rare. This special issue touches upon areas where the three fields converge. It results directly from a workshop at the 2011 German Association for Language Technology and Computational Linguistics (GSCL) conference in Hamburg where researchers from the three fields presented and discussed their interdisciplinary work. While the studies contained in this volume draw from a wide variety of objectives and methods, and various areas of overlaps between CL, TS and MT are addressed, the volume is by no means exhaustive with regard to this topic. Further cross-fertilisation is not only desirable, but almost mandatory in order to tackle future tasks and endeavours.}
Author: Sergei Nirenburg Publisher: MIT Press ISBN: 9780262140744 Category : Computers Languages : en Pages : 444
Book Description
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: Christa Hauenschild Publisher: Walter de Gruyter ISBN: 3110802473 Category : Language Arts & Disciplines Languages : en Pages : 281
Book Description
The series serves to propagate investigations into language usage, especially with respect to computational support. This includes all forms of text handling activity, not only interlingual translations, but also conversions carried out in response to different communicative tasks. Among the major topics are problems of text transfer and the interplay between human and machine activities.
Author: Philipp Koehn Publisher: Cambridge University Press ISBN: 0521874157 Category : Computers Languages : en Pages : 447
Book Description
The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.
Author: Bernard Scott Publisher: Springer ISBN: 3319766295 Category : Computers Languages : en Pages : 249
Book Description
This book is about machine translation (MT) and the classic problems associated with this language technology. It examines the causes of these problems and, for linguistic, rule-based systems, attributes the cause to language’s ambiguity and complexity and their interplay in logic-driven processes. For non-linguistic, data-driven systems, the book attributes translation shortcomings to the very lack of linguistics. It then proposes a demonstrable way to relieve these drawbacks in the shape of a working translation model (Logos Model) that has taken its inspiration from key assumptions about psycholinguistic and neurolinguistic function. The book suggests that this brain-based mechanism is effective precisely because it bridges both linguistically driven and data-driven methodologies. It shows how simulation of this cerebral mechanism has freed this one MT model from the all-important, classic problem of complexity when coping with the ambiguities of language. Logos Model accomplishes this by a data-driven process that does not sacrifice linguistic knowledge, but that, like the brain, integrates linguistics within a data-driven process. As a consequence, the book suggests that the brain-like mechanism embedded in this model has the potential to contribute to further advances in machine translation in all its technological instantiations.
Author: Frank Van Eydne
Author: Abdelhadi Soudi
Author: 
Author: John Lehrberger
Author: Alexander Täuschel
Author: Oliver Czulo
Author: Sergei Nirenburg
Author: Christa Hauenschild
Author: Philipp Koehn
Author: Bernard Scott