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