What is it about?

This paper explores a fresh approach to live multilingual subtitling in Korea, aiming to streamline the process by combining two traditionally separate roles into one. Instead of relying on both transcription specialists and simultaneous interpreters, the proposed model suggests using respeaking—a technique where a professional repeats spoken content, which is then converted into real-time subtitles by advanced speech recognition software. By comparing the current method with this new approach, the paper highlights the potential for respeakers to enhance the efficiency of live subtitling. To support this shift, it also suggests that training programs for translators and interpreters should start incorporating respeaking technology, preparing the next generation of professionals for this evolving landscape.

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Why is it important?

The paper's call to integrate respeaking into the training of translators and interpreters is forward-thinking. It anticipates the evolving demands of the industry and ensures that future professionals are equipped with the skills needed to meet these challenges. This makes the paper not just a technical proposal, but a roadmap for adapting to the future of translation and interpreting services.

Perspectives

This paper is significant because it addresses a growing need for more efficient and accurate live multilingual communication, especially in an increasingly globalized world. The current method of live subtitling in Korea involves a two-step process that can be time-consuming and prone to errors. By proposing a new model that combines transcription and translation into a single process using respeaking technology, the paper offers a way to streamline this service, making it faster and potentially more reliable.

Dr. SILHEE JIN
Chung-Ang University

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This page is a summary of: A model of live interlingual subtitling using respeaking technology, Babel Revue internationale de la traduction / International Journal of Translation / Revista Internacional de Traducción, October 2020, John Benjamins,
DOI: 10.1075/babel.00182.jin.
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