Abstract: Techniques are described for improving language translation of content (e.g., web content) on computing devices (e.g., mobile computing devices). For example, automatic translation can be performed when entering reading view in association with displayed web content by determining that the displayed web content is not in a language that is understood by the user (e.g., as indicated by language settings). As another example, language-related meta-data can be passed between applications and used in language detection of content, such as web content.

Abstract: Techniques are described for improving language translation of content (e.g., web content) on computing devices (e.g., mobile computing devices). For example, automatic translation can be performed when entering reading view in association with displayed web content by determining that the displayed web content is not in a language that is understood by the user (e.g., as indicated by language settings). As another example, language-related meta-data can be passed between applications and used in language detection of content, such as web content.

Abstract: The universal text input technique described herein addresses the difficulties of typing text in various languages and scripts, and offers a unified solution, which combines character conversion, next word prediction, spelling correction and automatic script switching to make it extremely simple to type any language from any device. The technique provides a rich and seamless input experience in any language through a universal IME (input method editor). It allows a user to type in any script for any language using a regular qwerty keyboard via phonetic input and at the same time allows for auto-completion and spelling correction of words and phrases while typing. The technique also provides a modeless input that automatically turns on and off an input mode that changes between different types of script.

Abstract: The universal text input technique described herein addresses the difficulties of typing text in various languages and scripts, and offers a unified solution, which combines character conversion, next word prediction, spelling correction and automatic script switching to make it extremely simple to type any language from any device. The technique provides a rich and seamless input experience in any language through a universal IME (input method editor). It allows a user to type in any script for any language using a regular qwerty keyboard via phonetic input and at the same time allows for auto-completion and spelling correction of words and phrases while typing. The technique also provides a modeless input that automatically turns on and off an input mode that changes between different types of script.

Abstract: A machine learning system learns models to assist providers in processing documents of customers. Providers may use various productivity tools that use the learned models to assist in performing tasks on target documents of customers. The machine learning system may initially train models based on demographic information of customers and training data of the customers. To generate the models, the machine learning system collects the training data for the customers of each cluster and then trains a model for each cluster. The machine learning system uses the models to perform tasks on documents of customers. A provider can then modify the results of the task. The machine learning system can use those modifications to adjust the models.

Abstract: The claimed subject matter can provide an architecture to facilitate widespread and economical access to location information as well as maintaining a healthy and robust location-based services ecosystem. The architecture can employ a variety of incentive mechanisms to encourage location-enabled devices to share location information with other devices that do not have location-enabled functionality. The incentives can also encourage novel uses for location-based services and/or promote new markets in that space. In addition, the architecture can employ techniques such as radiolocation to increase the accuracy of the location for the portable device relative to the known position of the location-enabled device.