Translation Engines: Techniques for Machine Translation

Trujillo, Arturo

doi:10.1007/978-1-4471-0587-9

Cited by 75 publications

(45 citation statements)

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“…This is a difficult task for a computer to perform, as evidenced in the literature on machine translation (cf. Trujillo 1999;Hutchins and Somers 1992;and Somers 2003 for a discussion of the main challenges). To eliminate the ambiguity inherent in natural language texts, rules can be applied.…”

Section: Introductionmentioning

confidence: 99%

Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output

O’Brien

2006

Across Languages and Cultures

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Abstract:In translation process and language production research, pauses are seen as indicators of cognitive processing. Investigating the correlations between source text machine translatability and post-editing effort involves an assessment of cognitive effort. Therefore, an analysis of pauses is essential. This paper presents data from a research project which includes an analysis of pauses in post-editing, triangulated with the Choice Network Analysis method and Translog. Results suggest that the pause-to-keyboarding ratio does not differ significantly for sentences deemed to be more suitable for machine translation than for those deemed to be less suitable. Also, results confirm the finding in research elsewhere that pause duration and frequency is subject to individual differences. Finally, we suggest that while pauses provide some indication of cognitive processing, supplementary methods are required to give a fuller picture.

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Section: Introductionmentioning

confidence: 99%

Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output

O’Brien

2006

Across Languages and Cultures

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“…Technological advances since the middle of the 20 th century, and particularly from the 1970s to the present, have had enormous impact on the tools used by translators (Hutchins and Somers 1992;O'Hagan 1996;Trujillo 1999;Austermühl 2001;Mossop 2001;Bowker 2002;Somers 2003;Torres 2003;Lagoudaki 2006;Melby 2006;Désilets, Melançon et al 2009;Cronin 2010;García 2009;LeBlanc 2013).…”

Section: Extended Translation: a Trans-human Translation Approachmentioning

confidence: 99%

Developing a Blueprint for a Technology-mediated Approach to Translation Studies

Jiménez

Encinas

2015

meta

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As Austermühl (2001) put it over a decade ago, the use of information and communication technologies is a fait accompli in the lives of today’s translators. Translation Studies (TS) have traditionally contemplated technologies only as supporting tools for translation practice, and translators’ tools have not enjoyed consideration as decisive actors in TS. Hence, their impact has been somehow underrepresented in the discipline. In the light of well-established translation paradigms (linguistic, functional, cognitive, sociological), we analyze the role played by technology. Most TS approaches are artifactual, this meaning that a rather simplistic and outdated distinction is made between translator minds and the tools they use. This paper proposes an instrumental approach to technologies within TS. In this, cohesive and mutual merging between translators and their technologies, both field-specific and generic tools lead us towards a concept that goes beyond purely linguistic or anthropocentric translation notions. A trans-human translation theoretical modeling is proposed to revisit TS paradigms in the context of the Information Society era. The trans-human translation closes the loop initiated by the fragmentation and dehumanization of first translation technologies, and envisages a stimulating future for translators, where they will use technological and social extensions in a creative and critical way.Comme Austermühl (2001) l’a mentionné il y a plus d’une décennie, l’utilisation des technologies de l’information et de la communication est un fait accompli dans la vie actuelle des traducteurs. La traductologie a traditionnellement envisagé les technologies comme étant seulement des outils de soutien dans la pratique de la traduction, et les outils des traducteurs n’ont pas bénéficié de considération à titre d’acteurs décisifs de ce domaine. C’est pourquoi leur impact, d’une certaine façon, a été sous représenté dans cette discipline. Nous analysons le rôle joué par la technologie selon plusieurs paradigmes de traduction bien établis (linguistique, fonctionnel, cognitif, sociologique). La plupart des approches et des études en traduction font une distinction, plutôt simpliste et périmée, entre les esprits des traducteurs et les outils qu’ils utilisent. Cet article propose une approche instrumentale des technologies en matière de traductologie. En cela, le fusionnement cohésif et mutuel entre les traducteurs et leurs outils de technologie, spécifiques à un domaine ou génériques, nous mène vers un concept qui dépasse les notions purement linguistiques ou anthropocentriques de la traduction. Un modèle théorique de transhumanisation de la traduction est proposé afin de revisiter des paradigmes traductologiques dans l’ère de la société de l’information. La transhumanisation de la traduction ferme la boucle lancée par la fragmentation et la déshumanisation des premières technologies de traduction, et envisage un futur stimulant, dans lequel les traducteurs emploieront des prolongements technologiques et sociaux d’une ma...

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“…Many fixed expressions and special constructions contribute to "translation divergences" (Trujillo, 1999;Habash and Dorr, 2002), meanings that are expressed with different syntax in the source and target languages. A typical example of a special construction is Why not VP-infinitive as in (4) as a way of performing the speech act of suggesting in English.…”

Section: Challenges For Computer-based Elicitationmentioning

confidence: 99%

MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules

Probst

Levin

Peterson

et al. 2002

Machine Translation

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Abstract.The AVENUE project contains a run-time machine translation program that is surrounded by pre-and post-run-time modules. The post-run-time module selects among translation alternatives. The pre-run-time modules are concerned with elicitation of data and automatic learning of transfer rules in order to facilitate the development of machine translation between a language with extensive resources for natural language processing and a language with few resources for natural language processing. This paper describes the run-time transfer-based machine translation system as well as two of the pre-run-time modules: elicitation of data from the minority language and automated learning of transfer rules from the elicited data.

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Translation Engines: Techniques for Machine Translation

Cited by 75 publications

References 0 publications

Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output

Pauses as Indicators of Cognitive Effort in Post-editing Machine Translation Output

Developing a Blueprint for a Technology-mediated Approach to Translation Studies

MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules

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