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.

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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

CAT tools utilize algorithms to aid human translators in converting text from one language to another. They provide translation suggestions, terminology databases, and glossaries to streamline the translation process. By taking advantage of CAT tools, translators can work more efficiently and produce higher-quality translations in a shorter amount of time.

One of the key advantages of computer-assisted translation is its ability to increase productivity. With the help of CAT tools, translators can complete tasks more quickly by leveraging automated features such as translation memory, which stores previously translated segments for reuse. This not only speeds up the translation process but also ensures consistency in terminology across different projects.

Moreover, CAT tools enable translators to collaborate more effectively. Multiple translators can work on the same project simultaneously, sharing resources and building on each other’s work. This collaborative approach enhances the overall quality of translations by leveraging the expertise of multiple linguists and ensuring that the final output meets the intended purpose.

In addition, computer-assisted translation enhances accuracy by minimizing human errors. While machines may not be able to fully replace human translators, they can aid in detecting inconsistencies or mistranslations that may go unnoticed by a human linguist. By flagging potential errors and suggesting alternative translations, CAT tools can help improve the final quality of the translated content.

Furthermore, CAT tools are especially beneficial for technical and specialized translations. Translating complex technical documents or industry-specific terminology requires a deep understanding of the subject matter. CAT tools can help translators access specialized dictionaries and terminologies to ensure accurate and precise translations in fields such as healthcare, legal, engineering, and finance.

Despite the many advantages of computer-assisted translation, it is important to acknowledge its limitations. While CAT tools excel at processing repetitive and formulaic texts, they may struggle with nuanced or creative content that requires a more human touch. Appreciating the strengths and weaknesses of CAT tools is essential for maximizing their utility and effectiveness in the translation process.

In conclusion, computer-assisted translation has revolutionized the way translations are carried out, offering a powerful and efficient tool for overcoming language barriers. By leveraging the benefits of CAT tools, translators can enhance productivity, accuracy, and collaboration while delivering high-quality translations in a variety of fields and specialties. As technology continues to advance, the integration of CAT tools will play an increasingly important role in facilitating communication and understanding across different languages and cultures.

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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