Abstract: Systems and methods to enable users to communicate via a language learning exchange are provided herein. One aspect includes registering through a computing device one or more users in a user community of an online language learning platform, the one or more users associated with profile information comprising user name, native language, and language of interest elements; accessing language content for use by the one or more users; matching the one or more users with one or more complementary users; and making the language content available to the users via a language learning exchange interface.

Abstract: An automated lesson generation learning system extracts text-based content from a digital programming file. The system parses the extracted content to identify a sentence, and key words within the sentences, to use as prompts in the lesson. The system also automatically generates a clip from the digital programming file, so that the clip is the portion of the file in which the sentence is spoken. The system then automatically generates and outputs a lesson containing the prompt and the clip.

Abstract: Systems and methods for identifying and connecting complementary users of a language learning exchange are provided herein. One aspect includes registering through a computing device one or more users in a user community of an online language learning platform, the one or more users associated with profile information comprising user name, native language, and language of interest elements; receiving search terms associated with a first user; matching the first user with a complementary user based on the search terms and profile information; and presenting the first user and the complementary user with a learning exchange interface via which they each use local devices to communicate over a network.

Abstract: A method and system for matching users of a network, such as a language learning network, employs user profile data to determine point match scores and/or compatibility match scores between users of the network such as a social network. A point match score is a measure of strength for a single interest that two users share. A compatibility match score is an aggregate measure of similarity of multiple interests that two users share. When a first user asks the system to propose another user or users for interaction, the system uses the point match scores, compatibility match scores, or both to determine which additional users to recommend to the first user. The system may present the first user with a profile for each recommended user. The first user may select one of the recommended users and engage in interaction, such as language skills learning or practice, with that user via a text, audio and/or video interface.

Abstract: Systems, methods and products involving a language learning exchange are provided herein. One aspect includes registering through a computing device one or more users in a user community of an online language learning platform, the one or more users associated with profile information comprising user name, native language, and language of interest elements; accessing language content for use by the one or more users; and matching the one or more users with one or more complementary user community users based on the profile information for participation in one or more learning exchanges. Other embodiments are also described herein.