Machine Translation. Capabilities and limitations PDF Download

Author: Ana Fernández Guerra
Publisher: Universitat de València
ISBN: 9788437042664
Category : Machine translating
Languages : en
Pages : 164

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Author: Sergei Nirenburg
Publisher: IOS Press
ISBN: 9789051990744
Category : Computers
Languages : en
Pages : 338

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Author: Kirsten Malmkjær
Publisher: OUP Oxford
ISBN: 0199239304
Category : Language Arts & Disciplines
Languages : en
Pages : 632

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This book covers the history of the theory and practice of translation from Cicero to the digital age. It examines all major processes of translation, offers critical accounts of current research, and compares theoretical perspectives on the problems of translation ranging from sacred texts and drama to science and diplomatic interpretation.

Author: Anthony Pym
Publisher: Taylor & Francis
ISBN: 1040088740
Category : Language Arts & Disciplines
Languages : en
Pages : 219

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Book Description
How to Augment Language Skills outlines ways in which translators and language providers can expand their skillset and how translation technologies can be integrated into language learning and translator training. This book explains the basics of generative AI, machine translation, and translation memory suites, placing them in a historical context and assessing their fundamental impacts on language skills. It covers what to teach in a specific context, how to teach it, how to assess the result, and how to set up lively class discussions on the many problematic aspects. The exploratory empirical approach is designed to reach across several divides: between language education and translation studies, between technology designers and users, between Western and Asian research, and between abstract ideas and hands-on practice. Features include: Fifty-seven technology-related activities for the language and/or translation class. Recent research on the capacities of generative AI. Examples of how to conduct a needs analysis in the Higher Education context. Comparisons of the main teaching methods. Ways to assess the use of technologies. Examples in Chinese, Spanish, Catalan, French, and German. A full glossary explaining the key terms in clear language. Drawing on years of classroom experience, Pym and Hao illustrate how these skills can be taught in a range of classroom and online activities, making this essential reading for teachers and researchers involved in the teaching of languages and the training of translators.

Author: Bernard Scott
Publisher: Springer
ISBN: 3319766295
Category : Computers
Languages : en
Pages : 249

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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: John Newton
Publisher: Routledge
ISBN: 113493789X
Category : Education
Languages : en
Pages : 405

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Book Description
Researchers have been attempting to develop systems that would emulate the human translation process for some forty years. What is it about human language that makes this such a daunting challenge? While other software packages have achieved rapid and lasting success, machine translation has failed to penetrate the worldwide market to any appreciable extent. Does this merely reflect a reluctance to adopt it, or does it signal a more fundamental and intractable problem? Computers in Translation is a comprehensive guide to the practical issues surrounding machine translation and computer-based translation tools. Translators, system designers, system operators and researchers present the facts about machine translation: its history, its successes, its limitations and its potential. Three chapters deal with actual machine translation applications, discussing installations including the METEO system, used in Canada to translate weather forecasts and weather reports,and the system used in the Foreign Technology Division of the US Air Force.

Author: Kenneth Goodman
Publisher: Morgan Kaufmann
ISBN: 9781558601291
Category : Computers
Languages : en
Pages : 356

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Book Description
Machine translation of natural languages is one of the most complex and comprehensive applications of computational linguistics and artificial intelligence. This is especially true of knowledge-based machine translation (KBMT) systems, which require many knowledge resources and processing modules to carry out the necessary levels of analysis, representation and generation of meaning and form. The number of real-world problems, tasks, and solutions involved in developing any realistic-size knowledge-based machine translation system is enormous. It is thus difficult for researchers in the field to learn what a system "really does". This book fills that need with a detailed case study of a KBMT system implemented at the Center for Machine Translation at Carnegie Mellon University. The research consists in part of the creation of a system for translation between English and Japanese. The corpora used in the project were manuals for installing and maintaining IBM personal computers (sponsorship by IBM, through its Tokyo Research Laboratory) Individual chapters describe the interlingua texts used in knowledge-based machine translation, the grammar formalism embodied in the system, the grammars and lexicons and their roles in the translation process, the process of source language analysis, an augmentation module that interactively and automatically resolves ambiguities remaining after source language analysis, and the generator, which produces target language sentences. Detailed appendices illustrate the process from analysis through generation. This book is intended for developers, researchers and advanced students in natural language processing and computational linguistics, including all those who have an interest in machine translation and machine-aided translation.

Author: Yorick Wilks
Publisher: Springer
ISBN: 9781441944474
Category : Computers
Languages : en
Pages : 0

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Book Description
A history of machine translation (MT) from the point of view of a major writer and innovator in the field is the subject of this book. It details the deep differences between rival groups on how best to do MT, and presents a global perspective covering historical and contemporary systems in Europe, the US and Japan. The author considers MT as a fundamental part of Artificial Intelligence and the ultimate test-bed for all computational linguistics.

Author: Eva Odette Jef Vanmassenhove
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Recent years have seen an increased interest in machine translation technologies and applications due to an increasing need to overcome language barriers in many sectors. New machine translations technologies are emerging rapidly and with them, bold claims of achieving human parity such as: (i) the results produced approach "accuracy achieved by average bilingual human translators [on some test sets]" (Wu et al., 2017b) or (ii) the "translation quality is at human parity when compared to professional human translators" (Hassan et al., 2018) have seen the light of day (Läubli et al., 2018). Aside from the fact that many of these papers craft their own definition of human parity, these sensational claims are often not supported by a complete analysis of all aspects involved in translation. Establishing the discrepancies between the strengths of statistical approaches to machine translation and the way humans translate has been the starting point of our research. By looking at machine translation output and linguistic theory, we were able to identify some remaining issues. The problems range from simple number and gender agreement errors to more complex phenomena such as the correct translation of aspectual values and tenses. Our experiments confirm, along with other studies (Bentivogli et al., 2016), that neural machine translation has surpassed statistical machine translation in many aspects. However, some problems remain and others have emerged. We cover a series of problems related to the integration of specific linguistic features into statistical and neural machine translation, aiming to analyse and provide a solution to some of them. Our work focuses on addressing three main research questions that revolve around the complex relationship between linguistics and machine translation in general. By taking linguistic theory as a starting point we examine to what extent theory is reflected in the current systems. We identify linguistic information that is lacking in order for automatic translation systems to produce more accurate translations and integrate additional features into the existing pipelines. We identify overgeneralization or 'algorithmic bias' as a potential drawback of neural machine translation and link it to many of the remaining linguistic issues.

Author: Christa Hauenschild
Publisher: Walter de Gruyter
ISBN: 3110802473
Category : Language Arts & Disciplines
Languages : en
Pages : 281

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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.