Artificial Intelligence in the World of Languages

Ok Google... How to say "Artificial Intelligence" in French? Recent technological advances have led to a gradual paradigm shift in translation, interpretation, and conference services. While reinforcing agility, collaboration, and efficiency, AI has become an integral part of the everyday work of many language professionals all over the world. Continue reading this article to learn more about the AI-based language solutions and their advantages for the contemporary language service industry.

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Artificial Intelligence in the World of Languages

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Ok Google... How to say "Artificial Intelligence" in French?

Recent developments in Big Data and Artificial Intelligence (AI) have led to a gradual paradigm shift in translation, interpretation, and conference services. According to CSA Research, 80% of language service providers deploy a translation management system, whereas 51% of them use some form of machine translation software.

3 Most Widely Used AI-powered Language Solutions

While reinforcing agility, collaboration, and efficiency, AI has become an integral part of the everyday work of many language professionals all over the world. Here are 3 most widely used AI-based language solutions in the contemporary language service industry:

  • Computer-assisted translation (CAT). - Created by a human, with a limited use of software. Most common CAT tools comprise translation memory software, spell and grammar checkers, electronic dictionaries, terminology banks, full-text search, concordancers, and bitext aligners.
  • Machine translation (MT). - Performed by a computer, with optional human intervention at the pre-editing and post-editing stages. Top 5 MT engines include, but are not limited to, Google Translate, DeepL, Microsoft Translator, IBM Watson Language Translator, and Bing.
  • Automatic speech recognition (ASR). - Translation of human speech into a written format. ASR applications integrate grammar, syntax, composition, and structure of voice signals to analyze and process human speech. They comprise such crucial components, as speech input and output, feature extraction and vectors, and a decoder.

Why To Integrate AI-based Technologies into Language Services

By promoting better understanding of the machine-human symbiosis, AI plays a crucial role in automating and rationalizing multiple language-related workflow processes. Key advantages of applying AI-based technologies in the world of languages include:

  • Acceleration of work process. - AI reduces significantly the amount of time required to perform the same tasks and increases the overall work efficiency.
  • Focus on quality-control-related tasks. - While liberating language specialists from performing routine tasks, AI gives them an opportunity to develop their creativity skills.
  • Customization of language services. - AI makes it possible to adapt different language services to customers' particular demands.
  • Diversification of language service industry. - AI creates flexible work environments and contributes to the emergence of new language-related services and jobs.
  • Improvement of the quality of language services. - By helping measure the quality of language services, AI ensures efficient multilingual communication.

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