Computer-Assisted Translation Statistics


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Computer-Assisted Translation Statistics 2023: Facts about Computer-Assisted Translation outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Computer-Assisted Translation, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

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Top Computer-Assisted Translation Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 32 Computer-Assisted Translation Statistics on this page 🙂

Computer-Assisted Translation “Latest” Statistics

  • According to a research by Intento from July 2020, Amazon is the best performing MT service in terms of translation accuracy.[1]
  • According to data from another organization, project managers spent 40% less time on tasks connected to translation.[1]
  • Bernhard Beumer Maschinenfabrik KG, a multinational manufacturer of intralogistics systems, reported a 30% reduction in translation costs after using TM, according to Monterey Institute of International Studies.[1]
  • According to ProZ Forum, some translators may only charge 50% to 70% of their standard translation prices for post-editing services, depending on the quality of the MT they deliver.[1]
  • According to CSA Research, Fortune 500 businesses that invested in translation were 2.04 times more likely to increase profits and 1.27 times more likely to increase earnings per share.[1]
  • Spanish translations had the greatest accuracy rate of 94%, followed by Tagalog translations at 90%, and Korean translations at 82.5%, according to a research that examined google translations of medical instructions for patients.[1]
  • Due to the need to disseminate COVID-19 healthcare information, the demand for translation in the healthcare industry grew by 49% in 2020.[1]
  • According to a poll by Inbox Translation, 52% of participants had no official translation or interpretation credentials in their mother tongue.[1]
  • Language service providers reported that the percentage of projects for end-clients using machine translations climbed from 13% in 2019 to 24% in 2020, according to CSA Research.[1]
  • One business witnessed a 60% improvement in productivity in the first five months after utilizing translation software, according to SmartCat.[1]
  • Compared to direct customers, translation companies are 2.5 times more likely to request pricing reductions from translators.[1]
  • According to translators, utilizing translation software may increase their output by at least 30%.[1]
  • The expenses of translation that result from human mistake, wasteful email correspondence, and time spent uploading information and searching databases may be reduced by 90% with the use of the correct tools.[1]
  • According to Google Neural Machine Translation system (GNMT), “we’re not yet at the point where translation can be automated with 100% accuracy, meaning a human touch is still quite necessary”.[2]
  • When a new source language file is opened in a CAT tool and the translation memory is utilized, new words are translated with a 100% match rate for identical segments or a fuzzy match for comparable segments.[3]

Computer-Assisted Translation “Other” Statistics

  • According to Grand View Research, Statistical Machine Translation (SMT) alone contributed to more than 65.0% of the overall MT market revenue.[1]
  • According to Statista, the market for language services worldwide is almost entirely owned by Europe (49%), followed by North America (39.41%).[1]
  • 75% of respondents to a 2020 ProZ poll of 7,000 professional translators and interpreters were self.[1]
  • 75% of customers are more inclined to purchase items from websites in their native language, according to a large-scale behavioral research from 2014 CSA analysis.[1]
  • 93% of independent translators, according to a 2020 poll by Inbox Translation, have earned at least one degree. Among whom 39% have a linguistic degree.[1]
  • Nearly 40% of internet users said they would never make a purchase from a website in a language other than their own.[1]
  • In a 2017 Slator survey, 94% of marketers in the US and Europe said they would prioritize increasing their spending for content localization in the 2018.[1]
  • In one research by Adparlor, advertising with localized content had clickthrough rates that were 22% higher for women and 87% higher for males.[1]
  • Freelance translators who are members of professional associations charge 30% more than those who are not, according to Inbox Translation.[1]
  • Asia has the most indigenous languages out of all the continents, with 32%, closely followed by Africa with 30%.[1]
  • From 2019 to 2029, the employment of translators and interpreters is anticipated to grow by 20%, which is much faster than the average rate of 4% for all professions.[1]
  • In 2020, there were 14,362 persons working as freelance translators, and 58.2% of them were women.[1]
  • English is the most commonly used language on the internet, making about 25.3%.[1]
  • When dealing with fuzzy matches between 60% and 69% similarity, the translators exerted the least amount of cognitive effort possible.[1]
  • Translating a website for these 4 countries is estimated to give access to 50% of worldwide sales potential: United States, China, Japan, and Germany.[1]
  • By translating website into the following languages (United States, China, Japan, and Germany), it may get into 80% of the world’s online consumer market.[1]
  • MadCap Lingo offers 101% context matches in tm that provide a precise match to previously translated information in addition to exact and fuzzy matches.[4]

Also Read

How Useful is Computer Assisted Translation

One of the main advantages of CAT tools is their ability to significantly increase the productivity of translators. By leveraging existing translation memory databases and glossaries, CAT tools can reduce the time spent on repetitive tasks and help maintain consistency throughout a translation project. This not only saves time but also ensures that translations are more accurate and of higher quality.

Furthermore, CAT tools provide translators with instant access to a wealth of resources that can help them tackle complex and specialized subjects. From industry-specific terminology databases to real-time collaboration features, these tools offer a wide range of functionalities that can enhance the translation process and facilitate communication between translators and clients.

Another key benefit of CAT tools is their ability to improve the overall workflow of translation projects. By automating many of the mundane tasks associated with translation, such as formatting and file management, these tools allow translators to focus on more creative and challenging aspects of their work. This not only boosts productivity but also improves the working conditions of translators, reducing their stress levels and increasing job satisfaction.

Moreover, CAT tools can help foster collaboration among translators. Many of these tools come with built-in features that enable multiple translators to work on the same project simultaneously, sharing their resources and expertise in real-time. This collaborative approach not only promotes knowledge sharing and professional development but also ensures that translations are more consistent and accurate.

Despite their numerous advantages, CAT tools are not without their limitations. While they excel at translating simple and repetitive texts, they may struggle with more complex and nuanced content. In such cases, human intervention is often required to ensure the accuracy and fluency of the translation.

Additionally, CAT tools may pose challenges to translators who are not familiar with their operation and capabilities. Training and familiarization with these tools are necessary to maximize their potential and ensure that they are used effectively.

In conclusion, computer-assisted translation tools have fundamentally transformed the translation industry, providing translators with the tools they need to work more efficiently and accurately. By combining the best of machine and human translation, these tools offer a powerful resource for language professionals, enabling them to tackle complex and demanding translation projects with ease. While they are not without their limitations, the benefits of CAT tools far outweigh their drawbacks, making them an essential asset for any translator looking to stay competitive in an increasingly globalized world.

Reference


  1. redokun – https://redokun.com/blog/translation-statistics
  2. summalinguae – https://summalinguae.com/language-technology/rule-based-machine-translation-vs-statistical-and-neural-machine-translation/
  3. towardsdatascience – https://towardsdatascience.com/computer-assisted-translation-systems-versus-machine-translation-fa73fc9db4ed
  4. madcapsoftware – https://www.madcapsoftware.com/products/lingo/

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