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B Y ,
LAVANYA BANDLA
GRASP: A Framework for Grammar-based Language learning
for children and adult with communicative disabilities using an
Android platform
IN TODAY’S WORLD, A WORLD WITHOUT
EDUCATION IS MEANINGLESS IN THE
SAME WAY EVERYONE HAS THE RIGHT
TO READ AND WRITE AND PEOPLE WITH
COMMUNICATIVE DISABILITIES FEEL
UNSUPPORTIVE. IN ORDER TO BOOST
THEM WITH SOME CONFIDENCE WE
PROPOSE AN IDEA FOR ‘GRASP’
LEARNING USING AN INTERACTIVE
SYSTEM FOR
COMPUTER ASSISTED LANGUAGE
LEARNING (CALL).
INTRODUCTION
SYSTEM DESCRIPTION
 Grammatical Framework(G.F) for multilingual and
modular formalism.
 Ready made texts :The texts are stored as GF grammars
which makes them possible to modify in a grammatical
way.
 Graphical Interaction: The user can move a word to
another position in the sentence, and the system will
automatically keep the sentence
 Grammar modules: Different grammatical and linguistic
constructions are put in separate grammar modules,
which the user him/herself Can choose to train.
SYSTEM DESCRIPTION
 No free text input
 The system does not allow the user to enter
words, phrases or sentences from the keyboard
 Systems that are supposed to handle free text input
sooner or later run into problems with Unknown
words or phrases
ILLUSTATIVE EXAMPLE
 CONSIDER,
 The above sentence is to be converted replacing the
cat with mouse.
 The passive form of this:
The Cat didn’t chase the mouse
The mouse didn’t chase the cat
The mouse Wasn’t chased by the cat
IMPLEMENTATION
 The system consists of three implementation layers:
FIRST LAYER:
 The bottom layer is the GF grammar formalism. We use
GF’s multilingual resource grammar to define the
different grammar modules.
 The example texts are stored as GF syntax trees, and the
GF linearization algorithm is used for displaying the
sentences to the user.
IMPLEMENTATION
 We have no use of parsing the sentences, since the
syntax trees are already known and there is no free
text input.
 On top of GF we have implemented an API for
modifying syntax trees by specifying linearization
constraints
IMPLEMENTATION
SECOND LAYER:
 The API consists of functions that transform trees to
obey the constraints, by using as few transformations
as possible.
 For the API functions to work, we have defined a
similarity measure between GF trees. This is based
on the notion
 Of tree edit distance but with modifications to ensure
type-correctness according to the GF type system.
IMPLEMENTATION
FINAL LAYER
 The final layer is the graphical interface, which
communicates with the API to decide which words
can be moved where, and what their context menus
should contain.
CONCLUSION
 Well when we normal humans can grasp things
efficiently and effectively even the people with
disabilities can also grasp the grammars effectively
and efficiently too. Hence this is our idea for
proposing a framework on the grammar based
effective learning using the Android operating
system using direct manipulations using the touch
screen
THANK YOU

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Grasp

  • 1. B Y , LAVANYA BANDLA GRASP: A Framework for Grammar-based Language learning for children and adult with communicative disabilities using an Android platform
  • 2. IN TODAY’S WORLD, A WORLD WITHOUT EDUCATION IS MEANINGLESS IN THE SAME WAY EVERYONE HAS THE RIGHT TO READ AND WRITE AND PEOPLE WITH COMMUNICATIVE DISABILITIES FEEL UNSUPPORTIVE. IN ORDER TO BOOST THEM WITH SOME CONFIDENCE WE PROPOSE AN IDEA FOR ‘GRASP’ LEARNING USING AN INTERACTIVE SYSTEM FOR COMPUTER ASSISTED LANGUAGE LEARNING (CALL). INTRODUCTION
  • 3. SYSTEM DESCRIPTION  Grammatical Framework(G.F) for multilingual and modular formalism.  Ready made texts :The texts are stored as GF grammars which makes them possible to modify in a grammatical way.  Graphical Interaction: The user can move a word to another position in the sentence, and the system will automatically keep the sentence  Grammar modules: Different grammatical and linguistic constructions are put in separate grammar modules, which the user him/herself Can choose to train.
  • 4. SYSTEM DESCRIPTION  No free text input  The system does not allow the user to enter words, phrases or sentences from the keyboard  Systems that are supposed to handle free text input sooner or later run into problems with Unknown words or phrases
  • 5. ILLUSTATIVE EXAMPLE  CONSIDER,  The above sentence is to be converted replacing the cat with mouse.  The passive form of this: The Cat didn’t chase the mouse The mouse didn’t chase the cat The mouse Wasn’t chased by the cat
  • 6. IMPLEMENTATION  The system consists of three implementation layers: FIRST LAYER:  The bottom layer is the GF grammar formalism. We use GF’s multilingual resource grammar to define the different grammar modules.  The example texts are stored as GF syntax trees, and the GF linearization algorithm is used for displaying the sentences to the user.
  • 7. IMPLEMENTATION  We have no use of parsing the sentences, since the syntax trees are already known and there is no free text input.  On top of GF we have implemented an API for modifying syntax trees by specifying linearization constraints
  • 8. IMPLEMENTATION SECOND LAYER:  The API consists of functions that transform trees to obey the constraints, by using as few transformations as possible.  For the API functions to work, we have defined a similarity measure between GF trees. This is based on the notion  Of tree edit distance but with modifications to ensure type-correctness according to the GF type system.
  • 9. IMPLEMENTATION FINAL LAYER  The final layer is the graphical interface, which communicates with the API to decide which words can be moved where, and what their context menus should contain.
  • 10. CONCLUSION  Well when we normal humans can grasp things efficiently and effectively even the people with disabilities can also grasp the grammars effectively and efficiently too. Hence this is our idea for proposing a framework on the grammar based effective learning using the Android operating system using direct manipulations using the touch screen