Abstract: A non-transitory processor-readable medium storing code representing instructions to be executed by a processor includes code to cause the processor to receive acoustic data representing an utterance spoken by a language learner in a non-native language in response to prompting the language learner to recite a word in the non-native language and receive a pronunciation lexicon of the word in the non-native language. The pronunciation lexicon includes at least one alternative pronunciation of the word based on a pronunciation lexicon of a native language of the language learner. The code causes the processor to generate an acoustic model of the at least one alternative pronunciation in the non-native language and identify a mispronunciation of the word in the utterance based on a comparison of the acoustic data with the acoustic model. The code causes the processor to send feedback related to the mispronunciation of the word to the language learner.

Abstract: A non-transitory processor-readable medium stores code representing instructions to be executed by a processor. The code causes the processor to receive a request from a user of a client device to initiate a speech recognition engine for a web page displayed at the client device. In response to the request, the code causes the processor to (1) download, from a server associated with a first party, the speech recognition engine into the client device; and then (2) analyze, using the speech recognition engine, content of the web page including text in an identified language to produce analyzed content based on the identified language, where the content of the web page is received from a server associated with a second party. The code further causes the processor to send a signal to cause the client device to present the analyzed content to the user at the client device.

Abstract: A non-transitory processor-readable medium storing code representing instructions to be executed by a processor includes code to cause the processor to receive acoustic data representing an utterance spoken by a language learner in a non-native language in response to prompting the language learner to recite a word in the non-native language and receive a pronunciation lexicon of the word in the non-native language. The pronunciation lexicon includes at least one alternative pronunciation of the word based on a pronunciation lexicon of a native language of the language learner. The code causes the processor to generate an acoustic model of the at least one alternative pronunciation in the non-native language and identify a mispronunciation of the word in the utterance based on a comparison of the acoustic data with the acoustic model. The code causes the processor to send feedback related to the mispronunciation of the word to the language learner.

Abstract: A non-transitory processor-readable medium stores code representing instructions to be executed by a processor. The code causes the processor to receive a request from a user of a client device to initiate a speech recognition engine for a web page displayed at the client device. In response to the request, the code causes the processor to (1) download, from a server associated with a first party, the speech recognition engine into the client device; and then (2) analyze, using the speech recognition engine, content of the web page including text in an identified language to produce analyzed content based on the identified language, where the content of the web page is received from a server associated with a second party. The code further causes the processor to send a signal to cause the client device to present the analyzed content to the user at the client device.

Abstract: A non-transitory processor-readable medium stores code representing instructions to be executed by a processor. The code causes the processor to receive a request from a user of a client device to initiate a speech recognition engine for a web page displayed at the client device. In response to the request, the code causes the processor to (1) download, from a server associated with a first party, the speech recognition engine into the client device; and then (2) analyze, using the speech recognition engine, content of the web page including text in an identified language to produce analyzed content based on the identified language, where the content of the web page is received from a server associated with a second party. The code further causes the processor to send a signal to cause the client device to present the analyzed content to the user at the client device.

Abstract: A system and method for language instruction is provided. In an embodiment, a method of language instruction is provided which comprises presenting a first description of an event responsive to a first perspective and presenting a second description of the event responsive to a second perspective, wherein the first description of the event and the second description of the event are in a common language. The first and second descriptions of the event can be provided in a variety of formats, such as in audio format or as text.