Posted by the Android staff
WPS is an workplace suite software program that lets customers effortlessly view and edit all their paperwork, shows, spreadsheets, and extra. As a world product, WPS requires a top-notch and dependable in-suite translation expertise that doesn’t require customers to go away the app. To make sure all its customers can benefit from the full advantages of the suite and its content material of their most well-liked language, WPS makes use of the interpretation API from ML Equipment, Google’s on-device and production-ready machine studying toolkit for Android growth.
WPS customers depend on textual content translation
Many WPS customers depend on ML Equipment’s translation instruments when studying, writing, or viewing their paperwork. Based on a WPS knowledge pattern on single-day utilization, there have been 6,762 day by day lively customers utilizing ML Equipment to translate 17,808 pages throughout all 43 of its supported languages. College students, who signify 44% of WPS’s userbase, particularly depend on translation expertise in WPS. WPS helps college students higher be taught to learn and write overseas languages by offering them with instantaneous, offline translations by way of ML Equipment.
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ML Equipment supplies free, offline translations
When selecting a translation supplier, the WPS staff checked out plenty of fashionable choices. However the different providers the corporate thought-about solely supported cloud-based translation and couldn’t translate textual content for some advanced languages. The WPS staff needed to make sure all of its customers may gain advantage from textual content translation, no matter language or community availability. WPS finally selected ML Equipment as a result of it might each translate textual content offline and for every of the languages it serves.
“WPS has many African customers, amongst whom are audio system of Swahili and Tamil, that are advanced languages that aren’t supported by different translation providers,” mentioned Zhou Qi, Android staff chief at WPS. “We’re very pleased to supply these customers with the interpretation providers they want by way of ML Equipment.”
What’s extra, the opposite translation providers WPS thought-about had been costly. ML Equipment is totally free to make use of, and WPS estimates it is saving roughly $65 million per 12 months by selecting ML Equipment over one other, paid translation software program growth equipment.
Optimizing WPS for ML Equipment’s translation API
ML Equipment not solely supplies highly effective multilingual translation but additionally helps App Bundle and Dynamic Supply, which provides customers the choice to obtain ML Equipment’s translation module on demand. With out App Bundle and Dynamic Supply, customers who don’t want ML Equipment would have needed to obtain it anyway, impacting install-time supply.
“When a consumer downloads the WPS app, the fundamental module is downloaded by default. And when the consumer wants to make use of the interpretation function, solely then will or not it’s downloaded. This reduces the preliminary obtain measurement and ensures customers who do not want translation help gained’t be bothered by downloading the module,” mentioned Zhou.
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ML Equipment’s assets made the method straightforward
Throughout implementation the WPS staff used ML Equipment’s official guides incessantly to steer their growth processes. These instruments allowed them to be taught the ins and outs of the API and guarantee any modifications met all of its customers’ wants. With the documentation and proposals supplied instantly from the ML Equipment website, WPS builders had been capable of shortly and simply combine the brand new toolkit to their workflow.
“With the supplied assets, we not often needed to seek for assist. The documentation was clear and concise. Plus, the API was simple and developer-friendly, which tremendously lowered the educational curve,” mentioned Zhou.
Streamlining UX with ML Equipment
Earlier than implementing ML Equipment, WPS customers needed to open a separate utility to translate their paperwork, making a burdensome consumer expertise. With ML Equipment’s automated language identification and instantaneous translations, WPS now supplies its customers a streamlined technique to translate textual content shortly, precisely, and with out ever leaving the applying, considerably bettering platform UX.
Transferring ahead, WPS plans to develop its use of ML Equipment, significantly with textual content recognition. WPS customers proceed to request the flexibility to course of textual content on captured images, so the corporate plans to make use of ML Equipment to refine the app’s textual content recognition skills as properly.
Combine machine studying into your workflow
Be taught extra about how ML Equipment makes on-device machine studying straightforward.
