15.2190, Qs: Phonostatistical Characteristics;Named Entities

[LINGUIST List]

LINGUIST List:  Vol-15-2190. Mon Aug 2 2004. ISSN: 1068-4875.

Subject: 15.2190, Qs: Phonostatistical Characteristics;Named Entities

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1)
Date:  Fri, 30 Jul 2004 21:03:38 +0600
From:  "Yuri Tambovtsev" <yutamb at mail.cis.ru>
Subject:  World languages and documentation

2)
Date:  Sat, 31 Jul 2004 02:57:06 +0900
From:  "Phan Xuan Hieu" <hieuxuan at jaist.ac.jp>
Subject:  Named entity recognition tools?

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

Date:  Fri, 30 Jul 2004 21:03:38 +0600
From:  "Yuri Tambovtsev" <yutamb at mail.cis.ru>
Subject:  World languages and documentation

Dear LinguistList colleagues,

I have computed 163 world languages and their sound pictures. I would
like to gather more data on the common features of the sound chains in
language, as an entity.  In particular, the phonostatistical
characteristics of American Indian or Australian languages.

Could someone please advise me whether it is necessary for me to go to
the USA or Australia to collect linguistic material for my research?
If so, where can it be found?  Also, do the respective governments
provide grants for the documentation of endangered languages?

Looking forward to hearing from you.

Yours sincerely,

Yuri Tambovtsev
yutamb at hotmail.com






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

Date:  Sat, 31 Jul 2004 02:57:06 +0900
From:  "Phan Xuan Hieu" <hieuxuan at jaist.ac.jp>
Subject:  Named entity recognition tools?

Dear all,

I am looking for a named entity recognizer that can identify several
kinds of entity like PERSON, ORGANIZATION, LOCATION, DATE, TIME,
NUMBER, PERCENT, MONEY, etc. I have tried GATE (ANNIE) and LingPipe
systems. The accuracy of GATE is good, however the XML-based output
format of GATE is too complex for subsequent processing. LingPipe
system is also good but it only recognize three kinds of entity
(PERSON, ORGANIZATION, LOCATION).

Could you please suggest me other NER systems (for English only) that
can recognize seven kinds of named entity (like MUC7 NER definition)?

Best regards,

Xuan Hieu Phan





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