Andrew W Breen

US Patent:

20190362649, Nov 28, 2019

Filed:

Aug 7, 2019

Appl. No.:

16/534940

Inventors:

- New York NY, US
Kasey KIRKHAM - New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US

International Classification:

G09B 19/06
G06F 17/27
G09B 5/00
G09B 7/08
A61B 5/00
A61B 5/048
A61B 5/16
G09B 5/02

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 language learners' proficiency levels.

US Patent:

20190304337, Oct 3, 2019

Filed:

Jun 14, 2019

Appl. No.:

16/442344

Inventors:

- New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US
Kasey KIRKHAM - New York NY, US

International Classification:

G09B 19/06
G06F 17/27
G09B 5/00
G09B 7/08
A61B 5/00
A61B 5/048
A61B 5/16
G09B 5/02

Abstract:

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.

US Patent:

20190103038, Apr 4, 2019

Filed:

Dec 3, 2018

Appl. No.:

16/208406

Inventors:

- New York NY, US
Kasey KIRKHAM - New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US

International Classification:

G09B 19/06
G09B 5/02
G06F 17/27
A61B 5/16
A61B 5/048
A61B 5/00
G09B 7/08
G09B 5/00
A61B 5/11
A61B 5/0484
A61B 5/0476

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.

US Patent:

20180108273, Apr 19, 2018

Filed:

Dec 19, 2017

Appl. No.:

15/847665

Inventors:

- New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US
Kasey KIRKHAM - New York NY, US

International Classification:

G09B 19/06
A61B 5/00
A61B 5/048
G06F 17/27
A61B 5/16
G09B 5/00
G09B 7/08
G09B 5/02
A61B 5/0476
A61B 5/0484
A61B 5/11

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.

US Patent:

20170270823, Sep 21, 2017

Filed:

May 31, 2017

Appl. No.:

15/609178

Inventors:

- New York NY, US
Kasey Kirkham - New York NY, US
Na'im Tyson - Mount Vernon NY, US
Andrew Breen - New York NY, US

International Classification:

G09B 19/06
A61B 5/00
A61B 5/048
A61B 5/16
G06F 17/27
G09B 5/00
G09B 5/02
G09B 7/08
A61B 5/0476
A61B 5/0484
A61B 5/11

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.

US Patent:

20170256178, Sep 7, 2017

Filed:

May 23, 2017

Appl. No.:

15/603296

Inventors:

- New York NY, US
Kasey KIRKHAM - New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US

International Classification:

G09B 19/06
A61B 5/048

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.

US Patent:

20170256179, Sep 7, 2017

Filed:

May 23, 2017

Appl. No.:

15/603315

Inventors:

- New York NY, US
Kasey KIRKHAM - New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US

International Classification:

G09B 19/06
G06F 17/27
G09B 5/02
G09B 7/08
G09B 5/00

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.

US Patent:

20160163228, Jun 9, 2016

Filed:

Feb 12, 2016

Appl. No.:

15/042427

Inventors:

- New York NY, US
Kasey KIRKHAM - New York NY, US
Na'im TYSON - Mount Vernon NY, US
Andrew BREEN - New York NY, US

International Classification:

G09B 19/06
G06F 17/27

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.