Audible, Inc.

Amazon Technologies, Inc.

Dikla Treves

Aman Sagar

Michael Angelo Macchione, Iii

Dan Stefanescu

Geetika Tewari Lakshmanan

Guy Ashley Story, Jr

Francis Andrew Shanahan

Puneet Girdhar

Lisa Marie Stringer

Jodi Rothstein

Yale Li

Alexandra Hsiao

Fangbing Qiu

Described herein are techniques for providing a dictionary capabilities associated with foreign language learning content items. In some cases, a foreign language learning application operation on a device may cause definitions associated with a word to be displayed on a display of the device concurrently with the word and at least some text surrounding the word. In some cases, the definitions may be provided in the language of the content item and in a language native the user.

Foreign language learning dictionary system

Described herein are techniques for improving foreign language learning of a user. In some cases, the system may present text in a foreign language to the user while outputting audio associated with the text. At various periods, the system may prompt the user to rate the difficulty associated with the text and based at least in part on the difficulty rating presenting the user with various options to alter the experience associated with consuming the text to improve the users foreign language absorption rate.

System for assisting in foreign language learning

Systems and methods are disclosed enabling recommendations of content items based on a difficulty of the content item as well as a skill level of the user. Skill-based content recommendations may be utilized, for example, in recommending content to language learners. Skill-based recommendations may be based on a variety of difficulty metrics of the content item, such as vocabulary and complexity of the language (e.g., words per paragraph, syllables per word, etc.), as well as a variety of skill metrics of the user (e.g., as explicitly provided by the user or implicitly determined based on a user's interaction with content items). Advantageously, such metrics can enable generation of recommendations based on a multi-dimensional difficulty assessment. Further, difficulty metrics, skill metrics, or the relationship between such metrics may be dynamically updated over time based on continued feedback from users, such that recommendations are dynamically improved.

Dynamic skill-based content recommendations

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New York, NY, United States of America

Dikla Treves