Relate kanji
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Transcript of Relate kanji
Relate KanjiMárcio Valença Ramos
June, 2016
IN CONTEXT:
THE JAPANESE
LANGUAGE
IN JAPANESE WE HAVE
THREE ALPHABETS
Hiragana
Hiraganahas
46Unique letters
Katakana
Katakanahas
46Unique letters
Jouyou Kanji
Jouyou Kanjihas
2,136Unique ideograms
ETYMOLOGY
ETYMOLOGY:
MUTUAL, WORTHY
HEART
CONCEPT,THOUGHT
EYE
TREE
Sometimes,the connection is
obvious
PERSON TREEREST,SLEEP
Sometimes,it is
not
MOON/MEAT
BLADE BEFOREGRASS(VARIANT)
READINGS
This is WATERIn Japanese:
MIZU
This is ROADIn Japanese:
MICHI
This is WATER SUPPLYIn Japanese:
MIZU-MICHI???
NO! It is:SUI-DOU
For them,
ITS LIKE
GREEK
When someone has
FEARRelated to
WATERWe say:
AQUA-PHOBIANot:
WATER-FEAR
Their origin:
CHINA
So, the kanji alphabet has
2,136Unique letters.
Each with:
Zero or more Japanese ReadingsOne or more Chinese ReadingsOne or more associated Concepts
How can
ANYONEEver hope to learn such a
COMPLEXAlphabet?
IN CONTEXT:
THE HUMAN
BRAIN
In truth, we know very
LITTLEabout our own
BRAIN
But one thing we’re sure of:
It works as a
NETWORK
Thoughts and memories are
NOT ISOLATEDFrom each other
When we remember a fact,
It triggersand
RefreshesAll our
Related Knowledge
Therefore, we can learn our best by
RELATING And
ASSOCIATINGKnowledge
IN CONTEXT:
THE WEBSITE
Based on
THREEservices
road-way
Components: ⿺
Looks Like:
Contained by:
Road-way, Street, Journey
ON: DOU, TOU KUN: MICHI
Words with
BROWSE
road-way
Learn Kanji
road-way
Learn Kanji
Road-way, Street, Journey
Hard More or less OK Easy
road-way
Learn Words
road-way
Learn Words
Suidou
Water-Way
Hard More or less OK Easy
IN CONTEXT:
DATA RETRIEVAL
DATAMINING
MANUAL CURATION
A JSON Graph:{"k": "相", "c": ["木", "目"], "l": [], "s": ["⿰"], "on": ["しょう", "そう"],
"kun": {"あい": []}, "nanori": ["あ", "い", "おう", "さ", "さが", "すけ"],
"m": "mutual, worthy", "extra_m": "inter-, together, each other, minister of state,
councillor, aspect, phase, physiognomy", "strokes": "9", "grade": "3",
"ic": ["想", "箱", "霜"], "r": "", "cc": []}
IN CONTEXT:
COMPUTER TECHNIQUES
Initial ordering:
PageRank with
Heterogeneous Random Restarts
Weighted by Frequency
Teaching efficiently:
Usage of
Two graphs to make a
Cognitive Model
Etymological Graph
Co-occurrenceGraph
IN CONTEXT:
EVALUATIONMETRICS
Site popularity:
Unique Users per Month
Site popularity:
Engagement
A/B Testing
QUESTIONS?