An alternative <term> index </term> could be the activity such as discussing , planning , informing , story-telling , etc . This paper addresses the problem of the <term> automatic detection </term> of those activities in meeting situation and everyday rejoinders .
Several extensions of this basic idea are being discussed and/or evaluated : Similar to activities one can define subsets of larger <term> database </term> and detect those automatically which is shown on a large <term> database </term> of <term> TV shows </term> .
In this presentation , we describe the features of and <term> requirements </term> for a genuinely useful <term> software infrastructure </term> for this purpose .
In this presentation , we describe the features of and <term> requirements </term> for a genuinely useful <term> software infrastructure </term> for this purpose .
In this paper we show how two standard outputs from <term> information extraction ( IE ) systems </term> - <term> named entity annotations </term> and <term> scenario templates </term> - can be used to enhance access to <term> text collections </term> via a standard <term> text browser </term> .
We describe how this information is used in a <term> prototype system </term> designed to support <term> information workers </term> ' access to a <term> pharmaceutical news archive </term> as part of their <term> industry watch </term> function .
The purpose of this research is to test the efficacy of applying <term> automated evaluation techniques </term> , originally devised for the <term> evaluation </term> of <term> human language learners </term> , to the <term> output </term> of <term> machine translation ( MT ) systems </term> .
We believe that these <term> evaluation techniques </term> will provide information about both the <term> human language learning process </term> , the <term> translation process </term> and the <term> development </term> of <term> machine translation systems </term> . This , the first experiment in a series of experiments , looks at the <term> intelligibility </term> of <term> MT output </term> .
We tested this to see if similar criteria could be elicited from duplicating the experiment using <term> machine translation output </term> .
Additionally , they were asked to mark the <term> word </term> at which they made this decision .
The results of this experiment , along with a preliminary analysis of the factors involved in the decision making process will be presented here .
We have built and will demonstrate an application of this approach called <term> LCS-Marine </term> .
We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this <term> technology </term> in <term> new domains </term> .
We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this <term> technology </term> in <term> new domains </term> .
In this paper , we address the problem of combining several <term> language models ( LMs ) </term> .
We describe our use of this approach in numerous fielded <term> user studies </term> conducted with the U.S. military .
We describe our use of this approach in numerous fielded <term> user studies </term> conducted with the U.S. military . This paper proposes a practical approach employing <term> n-gram models </term> and <term> error-correction rules </term> for <term> Thai key prediction </term> and <term> Thai-English language identification </term> .
In this paper , we present <term> SPoT </term> , a <term> sentence planner </term> , and a new methodology for automatically training <term> SPoT </term> on the basis of <term> feedback </term> provided by <term> human judges </term> .
In this paper , we compare the relative effects of <term> segment order </term> , <term> segmentation </term> and <term> segment contiguity </term> on the <term> retrieval performance </term> of a <term> translation memory system </term> .
In this paper , we study a <term> parsing technique </term> whose purpose is to improve the practical efficiency of <term> RCL parsers </term> .
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