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Author : Sergei Nirenburg
Publisher : Unknown
Page : 320 pages
File Size : 55,5 Mb
Release : 1993
Category : Machine translating
ISBN : 4274077217
Author : Sergei Nirenburg
Publisher : IOS Press
Page : 338 pages
File Size : 44,6 Mb
Release : 1993
Category : Computers
ISBN : 905199074X
Author : Ian D. K. Kelly
Publisher : Unknown
Page : 320 pages
File Size : 53,8 Mb
Release : 1989
Category : Language Arts & Disciplines
ISBN : UCAL:B4350646
Author : M. Carl,Andy Way
Publisher : Springer Science & Business Media
Page : 482 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401001816
Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals. Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.
Author : Isabel Lacruz
Publisher : John Benjamins Publishing Company
Page : 295 pages
File Size : 41,7 Mb
Release : 2023-07-26
Category : Language Arts & Disciplines
ISBN : 9789027249760
Extraordinary advances in machine translation over the last three quarters of a century have profoundly affected many aspects of the translation profession. The widespread integration of adaptive “artificially intelligent” technologies has radically changed the way many translators think and work. In turn, groundbreaking empirical research has yielded new perspectives on the cognitive basis of the human translation process. Translation is in the throes of radical transition on both professional and academic levels. The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence. The gathering and analysis of big data is a common thread that has given access to new insights in widely divergent areas, from literary translation to movie subtitling to consecutive interpreting to development of flexible and powerful new cognitive models of translation.
Author : Josephine L. Walkowicz
Publisher : Unknown
Page : 198 pages
File Size : 40,5 Mb
Release : 1963
Category : Electronic data processing
ISBN : UIUC:30112105095886
Author : Ian D. K. Kelly
Publisher : Unknown
Page : 322 pages
File Size : 50,9 Mb
Release : 1989
Category : Language Arts & Disciplines
ISBN : UOM:39015013907822
Author : Meng Ji,Michael Oakes
Publisher : Cambridge University Press
Page : 285 pages
File Size : 44,6 Mb
Release : 2019-06-13
Category : Computers
ISBN : 9781108423274
Introduces the integration of theoretical and applied translation studies for socially-oriented and data-driven empirical translation research.
Author : Marta R. Costa-jussà,Reinhard Rapp,Patrik Lambert,Kurt Eberle,Rafael E. Banchs,Bogdan Babych
Publisher : Springer
Page : 205 pages
File Size : 55,6 Mb
Release : 2016-07-12
Category : Computers
ISBN : 9783319213118
This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.
Author : W. John Hutchins
Publisher : John Benjamins Publishing
Page : 413 pages
File Size : 44,8 Mb
Release : 2000-12-04
Category : Language Arts & Disciplines
ISBN : 9789027283719
Machine translation (MT) was one of the first non-numerical applications of the computer in the 1950s and 1960s. With limited equipment and programming tools, researchers from a wide range of disciplines (electronics, linguistics, mathematics, engineering, etc.) tackled the unknown problems of language analysis and processing, investigated original and innovative methods and techniques, and laid the foundations not just of current MT systems and computerized tools for translators but also of natural language processing in general. This volume contains contributions by or about the major MT pioneers from the United States, Russia, East and West Europe, and Japan, with recollections of personal experiences, colleagues and rivals, the political and institutional background, the successes and disappointments, and above all the challenges and excitement of a new field with great practical importance. Each article includes a personal bibliography, and the editor provides an overview, chronology and list of sources for the period.
Author : Bernard Scott
Publisher : Springer
Page : 241 pages
File Size : 47,9 Mb
Release : 2018-06-06
Category : Computers
ISBN : 9783319766294
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 : Philipp Koehn
Publisher : Unknown
Page : 433 pages
File Size : 48,5 Mb
Release : 2010
Category : Machine translating
ISBN : 0511690584
Author : Philipp Koehn
Publisher : Cambridge University Press
Page : 409 pages
File Size : 54,5 Mb
Release : 2020-06-18
Category : Computers
ISBN : 9781108497329
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Author : Makoto Nagao
Publisher : Oxford University Press, USA
Page : 176 pages
File Size : 52,5 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015019048571
A lucid account of the process of machine translation. Nagao (engineering, Kyoto U) details recent developments in MT systems and makes suggestions for their utilization. The book will interest general readers. Annotation copyrighted by Book News, Inc., Portland, OR
Author : Bozena Henisz-Dostert,R. R. Macdonald,Michael Zarechnak
Publisher : Walter de Gruyter
Page : 281 pages
File Size : 46,6 Mb
Release : 2011-06-01
Category : Language Arts & Disciplines
ISBN : 9783110816679
TRENDS IN LINGUISTICS is a series of books that open new perspectives in our understanding of language. The series publishes state-of-the-art work on core areas of linguistics across theoretical frameworks as well as studies that provide new insights by building bridges to neighbouring fields such as neuroscience and cognitive science. TRENDS IN LINGUISTICS considers itself a forum for cutting-edge research based on solid empirical data on language in its various manifestations, including sign languages. It regards linguistic variation in its synchronic and diachronic dimensions as well as in its social contexts as important sources of insight for a better understanding of the design of linguistic systems and the ecology and evolution of language. TRENDS IN LINGUISTICS publishes monographs and outstanding dissertations as well as edited volumes, which provide the opportunity to address controversial topics from different empirical and theoretical viewpoints. High quality standards are ensured through anonymous reviewing.