WO2019087064A1 - Système et procédés d'apprentissage de langue - Google Patents

Système et procédés d'apprentissage de langue Download PDF

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Publication number
WO2019087064A1
WO2019087064A1 PCT/IB2018/058490 IB2018058490W WO2019087064A1 WO 2019087064 A1 WO2019087064 A1 WO 2019087064A1 IB 2018058490 W IB2018058490 W IB 2018058490W WO 2019087064 A1 WO2019087064 A1 WO 2019087064A1
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WO
WIPO (PCT)
Prior art keywords
language
topic
language learning
templates
learning system
Prior art date
Application number
PCT/IB2018/058490
Other languages
English (en)
Inventor
Shiju PUTHUVAMOOLA SASI
Jijith V S
Original Assignee
Puthuvamoola Sasi Shiju
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Puthuvamoola Sasi Shiju filed Critical Puthuvamoola Sasi Shiju
Publication of WO2019087064A1 publication Critical patent/WO2019087064A1/fr

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Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00—Teaching not covered by other main groups of this subclass
    • G09B19/06—Foreign languages
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/12—Use of codes for handling textual entities
    • G06F40/151—Transformation
    • G06F40/157—Transformation using dictionaries or tables
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G06F40/186—Templates

Definitions

  • the present disclosure relates to modular learning system, more particularly the present invention is related to systems and methods for learning languages in a cultural adaptive language learning system.
  • e-learning or electronic-learning has become a new mean for learning different skills and languages.
  • electronic media devices such as computers, mobile phone, smart learning devices, are used to instruct and train individuals or groups using activities, processes, communities, and events.
  • content for learning may be pre-recorded on different storage mediums for example: CD-ROM, DVD, video tapes, mobile or computer memory, servers, cloud servers or any other digital recording medium.
  • the educational content may be delivered over wired or wireless networks such as the Internet or intranets to individuals or groups via stationary or mobile electronic devices.
  • the existing language learning systems are monolithic and provide generalized content. Also, there are no standard linguistic learning data provider services (Language Learning as a Service) which allows selective content pull needed for third party apps/systems.
  • Embodiments of the present invention provide a language learning system.
  • the language learning system includes a non-transitory storage medium and a processor wherein the processor executes instructions stored in non-transitory storage medium.
  • the language learning system further includes a plurality of learning templates comprising grammatical rules of one or more languages wherein the plurality of learning templates are modified by content experts and to overlay the content experts' data.
  • the language learning system further includes a user interface configured to work in association with the non-transitory storage medium and the processor for creating third party learning apps for end users.
  • the language learning system ensures proper involvement and participation from richly experienced manual expertise in linguistics instead of depending on too much of artificial intelligence and voice recognitions, particularly unfit for human and culture oriented language learning.
  • the language learning system enables easy pick and choose options for capable entrepreneurs for building their own apps that can be marketed and monetized in their capacities too.
  • FIG. 1 illustrates a block representation of a language learning system (100) in accordance with an embodiment of the present embodiment
  • FIG. 2 illustrates a block representation of authorized/authenticated third party customer data fetch pipelines for third party language learning apps creation in the language learning system (100) in accordance with an embodiment of the present embodiment
  • FIG. 3 illustrates a block representation of the content creation by experts in the language learning system (100) in accordance with an embodiment of the present embodiment
  • FIG. 4 illustrates a block representation of the owner's app building process in the language learning system (100) in accordance with an embodiment of the present embodiment
  • FIG. 5 illustrates a language learning system pyramid - stake holders placed one above the other with convention of placing the consumers of data one below the producers in the pyramid of the language learning system (100) in accordance with an embodiment of the present embodiment.
  • processor refers any conventional or novel general purpose single or multi-chip processor or microprocessor or microcontroller that can execute information stored in data storage medium or memory, such as the computer readable storage medium, and/or the processor can access information wirelessly from an Internet server or remote data storage.
  • embodiments of the present invention provides a language learning system (100).
  • the stake holders in the present invention are content experts (108), app owners (102), third party users (112) such as teachers and students.
  • Content experts create their versions of content (audio, script, scenario based information and patterns worth studying/noting) and overlays on top of the templates and saves it as their repository (104) in the background.
  • App owners (102) can make use of content from different content experts (108) based on app owner preference/content ratings etc.
  • the third party users (112) such as teachers and students can access the language learning system (100) though an app (110) such as mobile app/desktop app. Further, the third party users (112) can subscribe to the app (110) mentioning their roles.
  • the student can use free features of the app (HO). The student can also get manual teacher support by connecting/linking with the teacher through the app (110).
  • the teacher can provide offline/online support as desired by the student/possible for teacher.
  • the language learning system (100) includes learning templates (106) stored in the corresponding to different language elements such as nouns, verbs, adjectives, articles, sentences etc., defined and kept as part of the language learning system backend.
  • An embodiment of the present invention allows the content creators to use the learning templates (106) as mentioned above and to overlay their language data over the existing learning templates (106) to generate their non-transitory storage medium (104, 104', 104") in the language learning system (100).
  • the plurality of learning templates (106) is stored in the non-transitory storage medium (104, 104', 104").
  • the plurality of learning templates (106) includes one or more grammatical rules which are configured to be modified by content experts (108) and to overlay the content experts' data.
  • the one or more grammatical rules of the language include, referred but not limited to rules of nouns, counting nouns, gender of nouns, root form of verbs, verb tense - simple past, present and future, verb tense - special cases including present perfect continuous equivalents, adjectives, adverbs, articles, measurements (length, volume, mass, time), prepositions, conjunctions, emotional expressions, sentences with states, sentences with actions and sentences in question form.
  • these learning templates (106) are designed based on consideration that the general characteristics of each element is analyzed, when these elements are used individually, with one or more elements and/or in sentence or any other possible linguistic combination in the language for which these learning templates (106) are written.
  • the multiple content creators (108) may generate data for same concepts in same language. This feature facilitated by the language learning system (100) allows maximum flexibility of choice to the app user.
  • the app users (102) can register and login in the language learning system (100) to build a language as its destination language and may choose one or more home languages (as defined by the business rules).
  • the language learning system (100) further enables user to pick up the relevant topics, sub topics, topic units and to attach the preferred content as available from the multiple content experts' entries.
  • the language learning can be made between a host language and one or more destination languages or in a single language wherein the language itself works as a medium.
  • the language is taught as a series of different 'topics' - nouns, adjectives, verb root forms, verb tenses etc. Each 'topic' items are covered using subtopics and each subtopic will contain one or more topic units.
  • topic and “topic units” are described in detail in further embodiments of the present invention.
  • the app user/content creator (102) is allowed to generate own language learning apps/applications (202).
  • the generated language learning apps (202) maybe further used by third party user (112) such as teachers and students.
  • the students may do free learning and practice, but to get the essence of human teacher support for right pronunciation, correct writing and speaking skills, students need to get connected to teachers registered with the system under the required language.
  • the core of the invention is the definition of language learning templates (106) for all the key concepts and the engine to overlay the content experts' data onto it, which creates meaningful learning apps for end users and teachers (112).
  • an embodiment of the present invention facilitates content creation by content experts (102) and overlaying their data (302) on the language templates (106) stored in non-transitory storage medium (104) whose basic behavior and language specific behavior may be represented by easy to understand user interface.
  • the data (302) is described as a topic unit which includes the structural transformations (306), prefixes (308), suffixes (310) and other vocal/textual dependencies (312) for various scenarios/usages/language construct (304).
  • the language learning system (100) represented in FIG. 4 includes a plurality of non-transitory storage medium (104, 104', 104").
  • Each non-transitory storage medium (104, 104', 104") includes plurality of topics (Topic 1, Topic 2.... Topic n). These topics can be accessed from different app versions (110, 110') such as mobile app and desktop app etc.
  • Each 'topic unit' has a language specific representation such as voice, script and references to scenario dependent other similar occurrences (for e.g. Father in one language can sound different for referring to own father, while addressing own father, while referring to some other's father) in the language.
  • a language specific representation such as voice, script and references to scenario dependent other similar occurrences (for e.g. Father in one language can sound different for referring to own father, while addressing own father, while referring to some other's father) in the language.
  • the language learning system (100) configured to perform one to one learning in the process of generating the learning experience of one 'topic unit X'
  • the language learning system (100) fetches the representation of 'X' in host and destination languages and renders the information using a 'template parser module'.
  • the 'template parser module' plays the representations (voice 1, script 1, scenario 1) and (voice2, script2, scenario2).
  • the first set corresponds to the representation of 'X' in host and second set corresponds to the representation of 'X' in destination language, respectively.
  • WORD1 and WORD2 a 'topic unit' which studies the union/combination of two smallest meaningful and independent entities in the language denoted as WORD1 and WORD2.
  • the combination can be mathematically modeled as a FUNCTION of one or more of the following: a. WORD 1/WORD 1 -TRANS FORMATION and WORD2/WORD2- TRANS FORMATION .
  • WORD 1 -TRANS FORMATION and WORD2- TRANSFORMATION indicate the defined transformation on WORDl and WORD2 respectively, when they are used together.
  • b. Prefixes and suffixes to one or more of WORDl and WORD2, carrying a regular pattern / case to case pattern.
  • WORDl prefix and suffix are denoted by WORDl -PREFIX and WORDl -SUFFIX respectively.
  • WORD2 prefix and suffix are denoted by WORD2-PREFIX and WORD2-SUFFIX respectively.
  • c Skewed transformation which is not directly visible as a WORD1- TRANS FORMATION or WORD2-TRANS FORMATION, but as a combination of both.
  • One or more among the above can be void; sometimes the transformation can be same as word itself. Sometimes the words or the transformations may get reversed in order. The prefixes/ suffixes/transformations can follow a same pattern - in voice and in script and sometime in both. Such similar looking 'topic units' may be classified and represented together / as a group for better learning experience. All of the above topics have their own template representations for their word order, representation before their combination, representation after their combination and ways to segregate in the end user applications based on identical script / voice tags.
  • the main advantage of language learning system (100) is considered by:
  • parsers which can be integrated as a library, plug-in or source code extension in mobile or web applications which can run through single dimensional (by having one language), two dimensional (having one to one between one host language and one destination language) and multidimensional (one to 'n' between one host language and 'n' destination languages) learning templates (106) to generate appropriate end user representations in the application using the target device's (phone, tablet, computer etc.) audio and display interfaces (speaker and screen).
  • the language learning system (100) is consumed by the content experts (108) to overlay their linguistic data onto the learning templates (106) which are part of the language learning system (100).
  • App owners (102) will use the data produced by content experts (108) to build/customize their apps and so on.
  • the teachers (508) and other end users (510) may consume the apps generated by app owners (102) for learning and teaching (offline assistance) purposes.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • Machine Translation (AREA)

Abstract

La présente invention concerne un système d'apprentissage de langue qui comprend des modèles d'apprentissage multiples ayant une ou plusieurs règles grammaticales. Les modèles sont conçus de façon à pouvoir être modifiés par des experts de contenu afin de recouvrir les données d'experts de contenu. En outre, la présente invention concerne une interface utilisateur conçue pour fonctionner en association avec le support d'informations non transitoire et le processeur afin de créer des applications d'apprentissage tiers pour des utilisateurs finaux.
PCT/IB2018/058490 2017-10-30 2018-10-30 Système et procédés d'apprentissage de langue WO2019087064A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN201741038352 2017-10-30
IN201741038352 2017-10-30

Publications (1)

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WO2019087064A1 true WO2019087064A1 (fr) 2019-05-09

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI780673B (zh) * 2020-04-22 2022-10-11 新加坡商飲茶工作室有限公司 多模態語言學習平台及用於多模態語言學習之方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IN2014MN00677A (fr) * 2011-09-13 2015-07-03 Monk Akarshala Design Private Ltd

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IN2014MN00677A (fr) * 2011-09-13 2015-07-03 Monk Akarshala Design Private Ltd

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI780673B (zh) * 2020-04-22 2022-10-11 新加坡商飲茶工作室有限公司 多模態語言學習平台及用於多模態語言學習之方法

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