<term> Oral communication </term> is ubiquitous and carries important information
and carries important information yet it is also time consuming to document . Given
conversation </term> for documentation . The question is , however , how an interesting information
how an interesting information piece would be found in a <term> large database </term> .
. An alternative <term> index </term> could be the activity such as discussing , planning
. Several extensions of this basic idea are being discussed and/or evaluated : Similar
Several extensions of this basic idea are being discussed and/or evaluated : Similar to
</term> and detect those automatically which is shown on a large <term> database </term> of
dominance distribution of speakers </term> might be available on the <term> surface </term> and
available on the <term> surface </term> and could be used directly . Despite the small size
effectiveness of these <term> indices </term> can be obtained . To support engaging human users
<term> DARPA Communicator program </term> [ 1 ] is funding the development of a <term> distributed
all <term> Communicator </term> participants are using . In this presentation , we describe
</term> and <term> scenario templates </term> - can be used to enhance access to <term> text collections
</term> . We describe how this information is used in a <term> prototype system </term> designed
positive indicates further work needs to be done on the <term> interface </term> to make
</term> . At MIT Lincoln Laboratory , we have been developing a <term> Korean-to-English machine
automated acquisition of grammars </term> . Having been trained on <term> Korean newspaper articles
document </term> . The purpose of this research is to test the efficacy of applying <term> automated
<term> words </term> . Even more illuminating was the factors on which the <term> assessors
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