Publication

Implicitation of Discourse Connectives in (Machine) Translation

2013
Conference Papers

Abstract

Explicit discourse connectives in a source language text are not always translated to comparable words or phrases in the target language. The paper provides a corpus analysis and a method for semi-automatic detection of such cases. Results show that discourse connectives are not translated into comparable forms (or even any form at all), in up to 18% of human reference translations from English to French or German. In machine translation, this happens much less frequently (up to 8% only). Work in progress aims to capture this natural implicitation of discourse connectives in current statistical machine translation models.

Official source

https://infoscience.epfl.ch/entities/publication/2b0571de-8b76-439a-8402-1554560089c4

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2013
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/2b0571de-8b76-439a-8402-1554560089c4

About this result

Related concepts (32)

Translation

Translation is the communication of the meaning of a source-language text by means of an equivalent target-language text. The English language draws a terminological distinction (which does not exist in every language) between translating (a written text) and interpreting (oral or signed communication between users of different languages); under this distinction, translation can begin only after the appearance of writing within a language community.

Machine translation

Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages. History of machine translation The origins of machine translation can be traced back to the work of Al-Kindi, a ninth-century Arabic cryptographer who developed techniques for systemic language translation, including cryptanalysis, frequency analysis, and probability and statistics, which are used in modern machine translation.

Computer-assisted translation

Computer-aided translation (CAT), also referred to as computer-assisted translation or computer-aided human translation (CAHT), is the use of software to assist a human translator in the translation process. The translation is created by a human, and certain aspects of the process are facilitated by software; this is in contrast with machine translation (MT), in which the translation is created by a computer, optionally with some human intervention (e.g. pre-editing and post-editing).

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Implicitation of Discourse Connectives in (Machine) Translation

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