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Feature introduction
Spec
Solution of embedded software design for mobile appliances
Advanced WNN v2
Embedded morphological analysis function. More intelligent, easier to use for more accurate input prediction.
Omron Software has developed a new version of Advanced Wnn V2 that enhances input prediction by adding a morphological analysis function, a first in the world of mobile phones.

Morphological analysis is a function that greatly enhances Japanese language analysis. Advanced Wnn V2 utilizes this to offer more convenient e-mail input.
Applications
Using words in received e-mails
Learning katakana from received e-mails
Learning kanji from received e-mails
Checking kanji reading and registration
Selecting kanji level based on skill level of receiver
Text-to-speech system
Together with OCR...
Using words in received e-mails
Advanced Wnn V2 analyzes received emails and uses the words in the received e-mail for conversion when replying.
Using words in received e-mails img-01
Learning katakana from received e-mails
Advanced Wnn V2 takes katakana in received e-mails and registers them into the dictionary.
70% of texts in an e-mail are katakana, including nicknames, brand names, company names, and onomatopoeia (imitation of sounds in words) . Users can input katakana easily using this function to learn katakana from received e-mails.
Learning katakana from received e-mails img-01
Learning kanji from received e-mails
Advanced Wnn V2 analyzes received e-mails and if a kanji is already registered in the dictionary, its frequency rate rises and Wnn puts the kanji at the top of the conversion list.
Learning kanji from received e-mails img-01
Checking kanji reading and registration
Users can see how to pronounce unknown kanji and register them easily.
Checking kanji reading and registration img-01
Selecting kanji level based on skill level of receiver
Advanced Wnn V2 can change the kevel of kanji in a text depending on the skill level of the receiver.
Selecting degree of kana depending on age of receiver img-01
Text-to-speech system
Advance Wnn V2 has a text-to-speech system. Combined with other speech synthesizers, it enables users to listen to written received e-mails. Advanced Wnn V2 can also categorize words by word class to move e-mails into specific folders.
Text to speech system img-01
Together with OCR...
Advanced Wnn V2 analyzes words using OCR, enabling users to learn how to pronounce and use kanji.
Together with OCR… img-01
Functions
MobileMorpho
Additional functions
MobileMorpho
MobileMorpho divides a sentence into paragraphs, independent words, and auxiliary words.
It returns appropriate types of word classes.
It remembers kanji readings.
MobileMorpho function img-01
Additional functions
Add counters to prediction dictionary
Right after selecting numerals, Advanced Wnn V2 offers counters to a conversion list, allowing users to input counters faster and easier.
Additional functions img-01
Compressed dictionary data can be used as a prediction dictionary
The number of words in the download dictionary increases greatly from 200 words to about 400 words at 10 KB. A dictionary with 200 words shrinks to 5 KB.
More compact English-Japanese / Japanese-English dictionary
A 1 MB dictionary slims down to approx. 320 KB.
Specs
Sizes
Engine 150 KB (including RAM 55 KB)
Dictionary
(Standard 60,000 words) *1
968 KB
Stack size 2.46 KB
*1: Advanced Wnn V1.2 engine 142 KB (including RAM 55 KB) / Dictionary 650 KB (60,000 words)
MobileMorpho (morphological analysis) speed
Speed *2 381 cps *3 (average)
Equivalent to: ARM 9-100 MHz
*2: Speed between morphological analyses studied
*3: cps: number of characters that MobileMorpho can process per second
MobileMorpho (morphological analysis) accuracy
More than 95% accuracy in standard writing
 
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