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 tools that have emerged to assist in the translation process is computer-assisted translation (CAT). CAT refers to the use of software applications that aid human translators in translating texts from one language to another. These tools can help to streamline the translation process, increase productivity, and improve consistency in translations.

One of the most advantageous features of CAT tools is that they can store previously translated texts in a database, known as a translation memory. This means that once a translation has been done, it can be reused in future projects, saving time and ensuring consistency in terminology across different documents. This not only speeds up the translation process but also enhances quality by reducing the risk of errors.

Furthermore, CAT tools often come equipped with a range of features that can aid translators in their work. For instance, spell checkers, grammar checkers, and style guides can help ensure that translations are accurate and conform to the desired style and tone. Additionally, features such as glossaries and terminology databases can help maintain consistency in specialized or technical translations.

Another significant advantage of CAT tools is their ability to handle a wide variety of file formats, making it easier for translators to work on documents from various sources without the need for manual formatting or conversion. This flexibility is particularly important in today’s digital age, where content is generated in multiple formats across different platforms.

Despite these advantages, some may argue that the quality of translations produced by CAT tools may not always match up to translations done by human translators. While it is true that CAT tools may struggle with nuances in language, cultural references, and context-specific meanings, they can still prove to be useful in a variety of scenarios. For straightforward texts or repetitive content, CAT tools can be highly efficient and accurate, allowing human translators to focus on more complex or creative aspects of the translation process.

Ultimately, the usefulness of CAT tools depends on the specific requirements of each translation project. While they may not be a one-size-fits-all solution, they do offer numerous benefits that can help streamline the translation process and improve overall efficiency. In a world that is becoming increasingly interconnected and multilingual, the role of CAT tools in facilitating communication across language barriers cannot be overlooked. As technology continues to advance and evolve, the potential for CAT tools to become even more effective and accurate is certainly within reach.

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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