8.255, Qs: Seychelles, Word frequency, Parser

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LINGUIST List:  Vol-8-255. Sat Feb 22 1997. ISSN: 1068-4875.

Subject: 8.255, Qs: Seychelles, Word frequency, Parser

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1)
Date:  Tue, 18 Feb 1997 14:36:48 -0500 (EST)
From:  Allen Ray Klanika <aklanika at indiana.edu>
Subject:  Seychelles Creole

2)
Date:  Mon, 17 Feb 1997 20:18:40 -0800
From:  RJ Cooper <rj at rjcooper.com>
Subject:  5000 most commonly used english words

3)
Date:  Wed, 19 Feb 1997 10:12:18 -1000
From:  Anne Sing <annes at htdc.org>
Subject:  Ergo Parser

-------------------------------- Message 1 -------------------------------

Date:  Tue, 18 Feb 1997 14:36:48 -0500 (EST)
From:  Allen Ray Klanika <aklanika at indiana.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
aklanika at indiana.edu
(812) 825-6736

Department of French and Italian
Indiana University


-------------------------------- Message 2 -------------------------------

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

Hi,

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

Thanks.

RJ <rj at rjcooper.com>


-------------------------------- Message 3 -------------------------------

Date:  Wed, 19 Feb 1997 10:12:18 -1000
From:  Anne Sing <annes at htdc.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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