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to make a corpus• (often) Outdated …by time, copyright,...• Tools are not for ordinary learners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)