Systems and methods for extracting keywords in language learning
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.
1. A server-implemented method comprising:
parsing, by a server, a set of one or more potential keywords from a text;
determining, by the server, for a subset of potential keywords in the set of one or more potential keywords, a score of each of the subset of potential keywords associated with a key of n-grams and a set of one or more collocations based on one or more scoring rules determining the score;
determining, by the server, a pedagogical value threshold based upon a level score associated with a client device, wherein the level score is based on a plurality of responsive inputs received from the client device during a first learning session associated with the server and the client device;
storing, by the server, into a keyword store, one or more potential keywords of the subset of potential keywords having the score that satisfies the pedagogical value threshold; and
generating, by the server, a learner activity for the client device configured to test the one or more potential keywords.
2. The server-implemented method according to claim 1 , further comprising:
generating, by the server, a graphical user interface on the client device associated with the first learning session.
3. The server-implemented method according to claim 2 , wherein the graphical user interface is configured to display one or more input elements configured to receive the plurality of responsive inputs from the client device.
4. The server-implemented method according to claim 1 , further comprising:
updating, by the server, the level score associated with the client device upon receiving new responsive inputs in a second learning session.
5. The server-implemented method according to claim 1 , further comprising:
determining, by the server, the pedagogical value threshold based upon a resource difficulty score of the text.
6. The server-implemented method according to claim 5 , further comprising:
determining, by the server, the resource difficulty score of the text based upon one or more characteristics of the text.
7. The server-implemented method according to claim 1 , further comprising:
receiving, by the server, the text from the client device via one or more networks.
8. The server-implemented method according to claim 1 , further comprising:
discarding, by the server, from the set of one or more potential keywords each potential keyword matching a filtered word in a file containing a stop word list.
9. The server-implemented method according to claim 8 , wherein the filtered word in the stop word list is selected from a group consisting of a proper noun, an ordinal number, a number, a preposition, and a conjunction.
10. The server-implemented method according to claim 1 , further comprising:
discarding, by the server, from the set of one or more potential keywords each potential keyword not satisfying a keyword frequency score threshold.
11. A system comprising:
a client device; and
a server, wherein the server is configured to:
parse a set of one or more potential keywords from a text;
determine for a subset of potential keywords in the set of one or more potential keywords, a score of each of the subset of potential keywords associated with a key of n-grams and a set of one or more collocations based on one or more scoring rules determining the score;
determine a pedagogical value threshold based upon a level score associated with a client device, wherein the level score is based on a plurality of responsive inputs received from the client device during a first learning session associated with the server and the client device;
store into a keyword store, one or more potential keywords of the subset of potential keywords having the score that satisfies the pedagogical value threshold; and
generate a learner activity for the client device configured to test the one or more potential keywords.
12. The system according to claim 11 , wherein the server is further configured to:
generate a graphical user interface on the client device associated with the first learning session.
13. The system according to claim 12 , wherein the graphical user interface is configured to display one or more input elements configured to receive the plurality of responsive inputs from the client device.
14. The system according to claim 11 , wherein the server is further configured to:
update the level score associated with the client device upon receiving new responsive inputs in a second learning session.
15. The system according to claim 11 , wherein the server is further configured to:
determine the pedagogical value threshold based upon a resource difficulty score of the text.
16. The system according to claim 15 , wherein the server is further configured to:
determine the resource difficulty score of the text based upon one or more characteristics of the text.
17. The system according to claim 11 , wherein the server is further configured to receive the text from the client device via one or more networks.
18. The system according to claim 11 , wherein the server is further configured to:
discard from the set of one or more potential keywords each potential keyword matching a filtered word in a file containing a stop word list.
19. The system according to claim 18 , wherein the filtered word in the stop word list is selected from a group consisting of a proper noun, an ordinal number, a number, a preposition, and a conjunction.
20. The system according to claim 11 , wherein the server is further configured to:
discard from the set of one or more potential keywords each potential keyword not satisfying a keyword frequency score threshold.