W08-1704 systems are currently based on statistical language processing . MedSLT , however , has been
C04-1112 themselves to solutions using statistical language processing tech - niques . Many of these
W00-1506 text and speech data for training statistical language processing algorithms . The cost of creating
P97-1046 lexicalized recursive grammars and statistical language processing . The context for evaluating
E97-1046 lexicalized recursive grammars and statistical language processing . The context for evaluating
E95-1008 demonstrated . 1 Introduction In statistical language processing , n-grams are basic to many probabilistic
W98-1426 practical synergy between symbolic and statistical language processing in a generator called Nitrogen
W13-4706 is indeed a major problem for Statistical language processing , especially for underresourced
P97-1008 distribution dissimilarity function in statistical language processing . The function itself is implicit
E97-1008 distribution dissimilarity function in statistical language processing . The function itself is implicit
P95-1054 recent revival of interest in statistical language processing is partly because of its ( comparative
W00-1219 Introduction Almost all techniques to statistical language processing , including speech recognition
W98-1426 the synergy between symbolic and statistical language processing and discusses Nitrogen 's performance
P97-1006 stands in the way of reliable statistical language processing ( e.g. ( Gale and Church , 1990
E97-1006 stands in the way of reliable statistical language processing ( e.g. ( Gale and Church , 1990
P00-1072 most suffering difficulties in statistical language processing is so-called data sparseness
P05-2015 Quarc and the Brown University statistical language processing class project . The corpus includes
D08-1065 MBR performance . 1 Introduction Statistical language processing systems for speech recognition
W97-0309 and mixed-order Markov models statistical language processing </title> Lawrence Saul Fernando
H94-1045 Bobrow , Schwartz , and Ingria ( Statistical Language Processing Using Hidden Understanding Models
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