The Best PEMT Service Just Got Even Better

White Globe has greatly simplified machine translation post editing by significantly improving the efficiency of the PEMT process. Our PEMT solution automatically collects post-editing feedback that is critical for machine learning and MT training.

The editing data collected includes mistranslation, missing translation, grammar and spelling mistakes, terminology errors, time spent editing each segment pair, percentage of changes, and readability.

This editing data can be fed back to the MT engine for machine learning and MT training to continuously improve quality. More importantly, White Globe’s PEMT solutions are the first to be available on mobile platforms, greatly simplifying the post-editing process into an easy chat interface.

Post Editing MT Simplified

PEMT Challenges:
• CAT Tools are becoming outdated and too complicated to use
• Subject Matter Experts can be difficult to find in niche industries
• PEMT requires a lot of time to train and onboard huge teams
• A lot of industry tools don’t leverage data in the PEMT process

White Globe Approach:
• Allowing thousands of translators to work together on projects simultaneously
• Using the Platform to link industry experts around the world onto one platform
• An easy to access PEMT platform for customers and translators alike

White Globe simplifies PEMT into an intuitive chat-based interface. A pair of sentences in the source and target language are shown in text bubbles for the linguist to review while changes are then entered into a 3rd bubble with a different colour code.

For reporting purposes, the human reviewer can also enter comments into a separate comment field. The entire process is similar to chatting on a mobile phone, making the process highly efficient for smartphone users.

Finally, A Scalable Post-Editing MT Solution

With mobile-based machine translation post-editing solutions, companies are finally able to achieve critical mass by executing large scale PEMT of machine translated content to meet enterprise demands on a global scale. Companies like Amazon and Facebook can finally translate all of their user generated content, as it is continuously being created, using the same crowd-sourced model that produced the original content.

For example, there are thousands of products added to Amazon’s platform in India. White Globe’s mobile translation solutions allows Amazon to simultaneously translate the product descriptions into all 23 major Indian languages with potentially thousands of Indian translators working from their smartphones.

Case Study: Machine Translation (MT) Training

One major factor affecting MT development is the availability of a large number of bilingual sentences to train computer algorithms (including the latest neural MT) to output quality results.

However, the challenge of building such a large collection of quality translated sentences quickly is nearly impossible with conventional translation models. This is where White Globe’s Big Translation is needed to enable many bilingual experts to simultaneously translate a vast number of sentences with speed and quality.

White Globe can efficiently translate millions of sentences for MT training on-demand using thousands of pre-screened translators working seamlessly on their smartphones.

Contact us today for a live demo and a customised solution!
• Extremely fast project turnaround.
• Unprecedented post-editing scalability.
• Big Translation for machine translation (MT) training.
• Higher quality with bilingual subject matter experts.
• Competitive service through efficiency.
• Mobile linguistic review enabled.