uses a <term> trigram language model </term> to determine the most probable <term> morpheme
in a <term> prototype system </term> designed to support <term> information workers </term>
( QA ) systems </term> are very sensitive to variations in the phrasing of an <term> information
task in building the <term> editor </term> was to define a set of <term> coherence rules </term>
</term> of <term> human language learners </term> , to the <term> output </term> of <term> machine translation
relations </term> among them . The key is to identify groups of <term> objects </term> that
technology </term> development initiative to advance the state of the art in <term> CSR
HDAGs </term> . We applied the proposed method to <term> question classification </term> and <term>
using various <term> tagging strategies </term> to combine multiple <term> tokens </term> . We
This paper reports on two contributions to <term> large vocabulary continuous speech
view that despite recent speculative claims to the contrary , current <term> SMT models </term>
<term> summarization </term> has been shown to work in <term> documents </term> of certain
<term> FERRET </term> utilizes a novel approach to <term> Q/A </term> known as <term> predictive
set </term> , these modifications combined to reduce the <term> speech recognition word
displays </term> offers techniques superior to those of humans for these aspects , while
utilizes <term> typed feature structures </term> to control the <term> top-down derivation </term>
templates </term> - can be used to enhance access to <term> text collections </term> via a standard
respects : as a device to represent and to use different <term> dialog schemata </term>
</term> of about 110,000 <term> words </term> . To improve the <term> segmentation </term><term>
closes with a description of an approach to <term> reasoning with dispositions </term>
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