Abstract: A systems, methods, and products for language learning software that automatically extracts text from corpora using various natural-language processing product features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a text, extract keywords pedagogically valuable to non-native language learning, assign a difficulty score to the text using various linguistic attributes of the text, generate a list of potential distractors for each keyword in the text to implement in learning activities, and topically tag the text against a taxonomy based on the content. This output is then used in conjunction with a series of learning activity-types designed to meet learners' language skill needs and then used to create dynamic, adaptive activities for them.

Abstract: Disclosed are systems, methods, and products for language learning that automatically extracts keywords from resources using various natural-language processing product features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive resources having text and then determine a text difficulty score that predicts how difficult the resource is for language learners based on any number of factors, including any number of semantic and syntactic features of the text. Training resources labeled with metadata may be used to train a statistical model for determining difficulty scores of newly received text. Resources may be grouped based on difficulty score, and groups of resources may correspond to language learners' proficiency levels.

Abstract: Disclosed are systems, methods, and products for language learning software that automatically extracts text from resources using various natural-language processing features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a text, extract keywords pedagogically valuable to non-native language learning, assign a difficulty score to the text using various linguistic attributes of the text, generate a list of potential distractors for each keyword related to a resource to implement in learning activities. Distractors may be of various types, which are dynamically selected from a distractor store depending on a learning activity chosen to meet a learner's needs. Distractors may vary in difficulty, and may be dynamically selected based on a learner's overall proficiency or based on a learner's abilities in specific language skills.

Abstract: A non-contacting rotary interface has a first core with a first pair of balanced transmission lines coupled to the first core and a second core moveable in relation to the first core with a second pair of balanced transmission lines coupled to the second core and configured to receive signals from the first pair of balanced transmission lines. The first pair of balanced transmission lines has a first transmit wire coupled to a termination point at a first end of the first transmit wire, a first transmitter coupled to the first transmit wire at a second end of the first transmit wire, a second transmit wire coupled to the termination point at a first end of the second transmit wire, and a second transmitter coupled to the second transmit wire at a second end of the second transmit wire. The balanced transmission lines may be electrical traces on a circuit board.

Abstract: Disclosed are systems, methods, and products for language learning software that automatically extracts text from resources using various natural-language processing features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a text, extract keywords pedagogically valuable to non-native language learning, assign a difficulty score to the text using various linguistic attributes of the text, generate a list of potential distractors for each keyword related to a resource to implement in learning activities. Distractors may be of various types, which are dynamically selected from a distractor store depending on a learning activity chosen to meet a learner's needs. Distractors may vary in difficulty, and may be dynamically selected based on a learner's overall proficiency or based on a learner's abilities in specific language skills.

Abstract: A systems, methods, and products for language learning software that automatically extracts text from corpora using various natural-language processing product features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a text, extract keywords pedagogically valuable to non-native language learning, assign a difficulty score to the text using various linguistic attributes of the text, generate a list of potential distractors for each keyword in the text to implement in learning activities, and topically tag the text against a taxonomy based on the content. This output is then used in conjunction with a series of learning activity-types designed to meet learners' language skill needs and then used to create dynamic, adaptive activities for them.

Abstract: Disclosed are systems, methods, and products for language learning that may extract text from various resources having text, using various natural-language processing features, which can be combined with custom-designed learning activities to offer a needs-based, adaptive learning methodology. The system may receive a resource, extract keywords pedagogically valuable to non-native language learning and academic exercises. Metadata describing various aspects of resources from which keywords are extracted may be associated with keywords. Metadata describing various aspects of keywords may also be associated with keywords. Extracted keywords may be stored into a keyword store along with any metadata associated with keywords.

Abstract: A time differential is estimated between a plurality of signals by determining a filter response of a first electrical signal with a first filter array, determining a filter response of a second electrical signal with a second filter array, and determining, based at least on the filter response of the first electrical signal and the filter response of the second electrical signal, a time differential between the first electrical signal and the second electrical signal. A first optical signal is converted into the first electrical signal and a second optical signal is converted into the second electrical signal. The filter response of the first electrical signal and the filter response of the second electrical signal are sampled and the time differential between the first electrical signal and the second electrical signal is determined based at least on the sampled filter response of the first electrical signal and the sampled filter response of the second electrical signal.

Abstract: A time differential is estimated between a plurality of signals by determining a filter response of a first electrical signal with a first filter array, determining a filter response of a second electrical signal with a second filter array, and determining, based at least on the filter response of the first electrical signal and the filter response of the second electrical signal, a time differential between the first electrical signal and the second electrical signal. A first optical signal is converted into the first electrical signal and a second optical signal is converted into the second electrical signal. The filter response of the first electrical signal and the filter response of the second electrical signal are sampled and the time differential between the first electrical signal and the second electrical signal is determined based at least on the sampled filter response of the first electrical signal and the sampled filter response of the second electrical signal.

Abstract: A non-contacting rotary interface has a first core with a first pair of balanced transmission lines coupled to the first core and a second core moveable in relation to the first core with a second pair of balanced transmission lines coupled to the second core and configured to receive signals from the first pair of balanced transmission lines. The first pair of balanced transmission lines has a first transmit wire coupled to a first transceiver at a first end of the first transmit wire, a second transceiver coupled to the first transmit wire at a second end of the first transmit wire, a second transmit wire coupled to a third transceiver at a first end of the second transmit wire, and a fourth transceiver coupled to the second transmit wire at a second end of the second transmit wire. The balanced transmission lines may be electrical traces on a circuit board.

Abstract: A time differential is estimated between a plurality of signals by determining a filter response of a first electrical signal with a first filter array, determining a filter response of a second electrical signal with a second filter array, and determining, based at least on the filter response of the first electrical signal and the filter response of the second electrical signal, a time differential between the first electrical signal and the second electrical signal. A first optical signal is converted into the first electrical signal and a second optical signal is converted into the second electrical signal. The filter response of the first electrical signal and the filter response of the second electrical signal are sampled and the time differential between the first electrical signal and the second electrical signal is determined based at least on the sampled filter response of the first electrical signal and the sampled filter response of the second electrical signal.

Abstract: A monolithic passively Q switched microlaser includes an optically transparent heat conductive element bonded to a gain medium, which is in turn bonded to a saturable absorber, which may also be bonded to a second optically transparent heat conductive element. Only the gain medium and saturable absorber are disposed within the laser resonator.