LINGUIST List 8.255

Sat Feb 22 1997

Qs: Seychelles, Word frequency, Parser

Editor for this issue: Susan Robinson <suelinguistlist.org>

We'd like to remind readers that the responses to queries are usually best posted to the individual asking the question. That individual is then strongly encouraged to post a summary to the list. This policy was instituted to help control the huge volume of mail on LINGUIST; so we would appreciate your cooperating with it whenever it seems appropriate.

Directory

  1. Allen Ray Klanika, Seychelles Creole
  2. RJ Cooper, 5000 most commonly used english words
  3. Anne Sing, Ergo Parser

Message 1: Seychelles Creole

 Date: Tue, 18 Feb 1997 14:36:48 -0500 (EST)
From: Allen Ray Klanika <aklanikaindiana.edu>
Subject: Seychelles Creole

Greetings!

Could anyone tell me where to find references on Seychelles Creole? I
am interested in the Standardization processes, including how the
Seychellois decided on a writing system, and how this helped the
creole become adopted as an official language.

Thanks for the help,
Allen KLANIKA
aklanikaindiana.edu
(812) 825-6736

Department of French and Italian
Indiana University
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Message 2: 5000 most commonly used english words

 Date: Mon, 17 Feb 1997 20:18:40 -0800
From: RJ Cooper <rjrjcooper.com>
Subject: 5000 most commonly used english words

Hi,

Looking for an electronic list of most 5000 most used english printed
words?

Thanks.

RJ <rjrjcooper.com>
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Message 3: Ergo Parser

 Date: Wed, 19 Feb 1997 10:12:18 -1000
From: Anne Sing <anneshtdc.org>
Subject: Ergo Parser

We are looking for morphological NLP tools to add to our parser.
Specifically, we would like recommendations for existing tools
(preferably in C++) that will allow us to easily increase the number
of words that we handle by correctly analyzing words with common
prefixes and suffixes. We would be inerested in either public domain
or for sale morphological parsers. 
The ideal morphological parser will be one which can work with our
syntactic parser and dictionary without excessive increases in
speed. We would even be interested in looking at morphological
parsers that were limited in scope, handling only a few suffixes and
prefixes, if they could increase our efficiency without slowing down
the parser significantly.


Sincerely,

Phil Bralich
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