Topic: Data Annotation for Asian Languages

[MaeKrugern]

It is no secret that in our ever-growing industry the need for automation, AI, and modern technologies is a thing that pulls us forward. At the same time, these might not work well, if not used expertly. We got to the point where machine translation has been growing and growing and along with it the need for data annotation has become a niche service, which might tempt most companies to give it a try.
So far in the past few years AI has been implemented with great success in many languages but was found to be lacking in others, especially when it comes to Asian languages. What tools do you use to translate Asian languages? But for data annotation?

[Gavra Meads]

When it comes to machine translation and data annotation for Asian languages, companies like TransPerfect DataForce use a combination of machine learning and human expertise to ensure accuracy and quality. They have a team of highly skilled linguists and native speakers who can provide accurate and reliable data annotation for a wide range of Asian languages, including Chinese, Japanese, Korean, and others.

Their data annotation services include part-of-speech tagging, named entity recognition, sentiment analysis, and other language-specific tasks that are essential for training effective machine translation models. They use a combination of manual and automated processes to ensure accuracy and consistency, and their data is carefully reviewed and validated by experts to ensure quality.

In addition to their data annotation services, TransPerfect DataForce also uses a range of tools and technologies to translate Asian languages, including machine translation engines, translation memory systems, and terminology management tools. They leverage these tools to improve efficiency and accuracy, while still relying on human expertise to ensure quality and consistency.