We are independent & ad-supported. We may earn a commission for purchases made through our links.
Advertiser Disclosure
Our website is an independent, advertising-supported platform. We provide our content free of charge to our readers, and to keep it that way, we rely on revenue generated through advertisements and affiliate partnerships. This means that when you click on certain links on our site and make a purchase, we may earn a commission. Learn more.
How We Make Money
We sustain our operations through affiliate commissions and advertising. If you click on an affiliate link and make a purchase, we may receive a commission from the merchant at no additional cost to you. We also display advertisements on our website, which help generate revenue to support our work and keep our content free for readers. Our editorial team operates independently of our advertising and affiliate partnerships to ensure that our content remains unbiased and focused on providing you with the best information and recommendations based on thorough research and honest evaluations. To remain transparent, we’ve provided a list of our current affiliate partners here.
Software

Our Promise to you

Founded in 2002, our company has been a trusted resource for readers seeking informative and engaging content. Our dedication to quality remains unwavering—and will never change. We follow a strict editorial policy, ensuring that our content is authored by highly qualified professionals and edited by subject matter experts. This guarantees that everything we publish is objective, accurate, and trustworthy.

Over the years, we've refined our approach to cover a wide range of topics, providing readers with reliable and practical advice to enhance their knowledge and skills. That's why millions of readers turn to us each year. Join us in celebrating the joy of learning, guided by standards you can trust.

What is Fuzzy Matching?

John Lister
By
Updated: May 16, 2024

Fuzzy matching is a method used in some computer programs, most notably those designed to automatically translate text between different languages. It works in situations where the database used by the software does not have an exact match for a piece of text. Instead, the database looks for close matches, with human revision usually checking that this match is acceptably accurate.

Most automated translation programs simply compare text to a database of previous translations. This database is usually known as a translation memory (TM). Each new and confirmed translation is added to the database, meaning that future translations are usually more accurate and quicker.

Normally, TM-based translation works with entire sentences. For example, if a user has previously approved a particular sentence in French as being an accurate translation of, "The shop is open between 9 a.m. and 5 p.m. on weekdays, but closes at 2 p.m. on Wednesday," then the next time the software is asked to translate that sentence, it will automatically use the same French wording as before.

The fuzzy matching tool works with situations where a particular phrase has not come up in documents translated by the system before. The tool involves either the creator of the software or the end user setting an acceptable fuzzy matching level in the form of a percentage match. If the phrase is close enough to one previously translated to meet this percentage match, the software will advise the user of the match, give the previous translation, and ask the user to confirm or edit the proposed translation.

To follow up the previous example, if the fuzzy matching threshold was set at 90% and the new English document contained the sentence, "The shop opens between 9 a.m. and 5 p.m. on weekdays, but closes at 2 p.m. on Wednesday," the software would suggest the previously used translation and the user would likely click to approve it. If the new document had the sentence, "The shop is open between 9 a.m. and 5 p.m. on weekdays, but closes at 2 p.m. on Thursday," the software would suggest the previously used translation and the user would correct this translation to conclude with the French word for Thursday. If the new document had the sentence, "The shop is open from 9 a.m. to 5 p.m. on every weekday except Wednesday, when it shuts at 2 p.m.," the software would not consider this a fuzzy match, despite the meaning being the same, and thus would not offer an automatic translation for the sentence, leaving the user to translate it manually.

EasyTechJunkie is dedicated to providing accurate and trustworthy information. We carefully select reputable sources and employ a rigorous fact-checking process to maintain the highest standards. To learn more about our commitment to accuracy, read our editorial process.
John Lister
By John Lister
John Lister, an experienced freelance writer, excels in crafting compelling copy, web content, articles, and more. With a relevant degree, John brings a keen eye for detail, a strong understanding of content strategy, and an ability to adapt to different writing styles and formats to ensure that his work meets the highest standards.
Discussion Comments
John Lister
John Lister
John Lister, an experienced freelance writer, excels in crafting compelling copy, web content, articles, and more. With...
Learn more
Share
https://www.easytechjunkie.com/what-is-fuzzy-matching.htm
EasyTechJunkie, in your inbox

Our latest articles, guides, and more, delivered daily.

EasyTechJunkie, in your inbox

Our latest articles, guides, and more, delivered daily.