Abstract: Systems and methods for automatically creating foreign language learning curricula are presented. When an input videos is received, the audio track is denoised, and then segmented according to the sentences voiced in the audio track. The sentences are transcribed and the words of the transcriptions are scored. Based on the aggregated scores, the video is deemed to be a positive or negative example for foreign language learning. The video and the transcripts of the sentence are made into instructional materials. Words in the transcripts can be tagged to indicate words that a learner of another native tongue might tend to make.

Abstract: Systems and methods for scoring spoken Chinese are provided. In an exemplary method, a user reads a written transcript and the user's voice is recorded. Characters of the transcript are then represented as pinyins with tone markings. The voice recording is sectioned into individual phonemes that are aligned with the phonemes of the pinyins. For each character of the transcript, a tone is determined for the phonemes in the voice recording corresponding to that character. That tone is scored as correct or incorrect by comparison to the tone marking associated with the pinyins for that character. The pronunciation of each phoneme of the voice recording is also scored relative to the corresponding phonemes of the pinyins of the characters of the transcript. Further scores for words and sentences can be developed from the tone and pronunciation scores and provided to the user with feedback.

Abstract: Systems and methods for scoring spoken Chinese are provided. In an exemplary method, a user reads a written transcript and the user's voice is recorded. Characters of the transcript are then represented as pinyins with tone markings. The voice recording is sectioned into individual phonemes that are aligned with the phonemes of the pinyins. For each character of the transcript, a tone is determined for the phonemes in the voice recording corresponding to that character. That tone is scored as correct or incorrect by comparison to the tone marking associated with the pinyins for that character. The pronunciation of each phoneme of the voice recording is also scored relative to the corresponding phonemes of the pinyins of the characters of the transcript. Further scores for words and sentences can be developed from the tone and pronunciation scores and provided to the user with feedback.