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A Writer’s Assistant based on the World Wide Web-Knowledge
Takashi Yamanoue
Kyushu Institute of Technology, Japan
Toshiro Minami
Kyushu University, Japan
Ian Ruxton
Kyushu Institute of Technology, Japan
AKAW99@Sydney(99.12.5-6)
A Writer’s Assistant based on the World Wide Web-Knowledge
Introduction System Design and Implementation Experiments Related Work Concluding Remarks
Difficulties in second language writing.
Is it really used??
?
A Corpus, large examples,a Concordancer
1. Introduction
Corpus linguistics• It is Time-consuming and Hard work,
to make a corpus• (often) Outdated …by time, copyright,...• Tools are not for ordinary learners
Web corpus= Knowledge on the Internet
WWW
Exists as it is, maintenance free
Always new, reflects current status
A lot of applications
The writer’s assistant system
Fast Provides some tips Graphical
An expression
Frequencies of sub-sequences in the World Wide Web
The Writer’s assistant system
System Design• Is the expression Right or Wrong?• Finding out wrong parts• Comparing candidate words and phrases
2. System Design and Implementation
System Interface
System Organization
Writer’s Assistant
Pattern Matching Engine
Vector results=new Vector();patternmatcher = new PatternMatcher(the_HTML);patternmatcher.match (“The search engine found * Web pages”,results);System.out.println(results.elementAt(0));
In order to extract the frequency
The system is in Java. … portable.
See/watch the TV/movie
“the TV” “see the TV” “watch the TV”
216,107 873* 1,593
“the movie” “see the movie” “watch the movie”
472,776 13,638 6,666*
common.
Not common
3. Experiments
Experiments Person’s Name
Place Names
“Bertrand Russell” “Burtrand Russell”
12,575 3
Not only for Historical names
“Jenolan caves” “Genolan caves”
992 2
Choose one phrase or word that should be corrected.
Successful : 13/20 Insufficient information: 2/20 Failure: 5/20
TOEIC(Test of English for International Communication)
Only 9.4% of the testees gave the correct answer
Successful Example:
Failure Example:
Brushing up our Paper
“Web-Corpus” vs. “WWW-corpus” “pattern match engine”
vs. “pattern matching engine” “systems that are similar to”
vs. “systems that resemble to” “testee”
Satoh’s system….WWW, KWIC WordSmith Tools…for experts TXTANA … for experts SARA…for research purpose SUIKO…detect wrong sentences The Writer’s Assistant…idea organizer
4. Related Work
Help writing. To know, is it really used? Not for beginners This system + search engine
• choose good keywords
Useful in our usage
5. Concluding Remarks
Integrate other services Monitor user’s behaviour Collaborative writings
Future Plans
Acknowledgement
Dr. Asakawa, Fujitsu Laboratories Limited. Supported by the Grant-in-Aid of the Minist
ry of Education, Science and Culture of Japan(C)(2)(09680401)