H89-1054 probabilities , where automatic statistical estimation can be performed . Word recurrence
D10-1057 Feldman et al. , 2009 ) . Finally , statistical estimation in a streaming context has been
H91-1056 large speech corpora now allow the statistical estimation of these probabilities . 2 .
N04-1013 of feature - functions for the statistical estimation of the parameters λ . Replacing
J11-1002 find candidates , then uses a statistical estimation method to determine whether the
D09-1094 the data collection . <title> Statistical Estimation of Word Acquisition Application
D09-1094 situations and also admit good statistical estimation theory . Noting that &#934; &#8722;
M91-1035 can be used effectively b y any statistical estimation method . The more parameters
H92-1026 parse from the grammarian to the statistical estimation methods . We refer to probabilistic
C69-4901 misunderstanding of the nature of statistical estimation is characteristic not only of
J11-1002 context , however . Besides , the statistical estimation can be unreliable if the corpus
C92-3126 statistical dependencies . Optimal statistical estimations can only be achieved if tile
D09-1123 probabilistic formulation and statistical estimation used in the Direct Translation
J98-2002 both for data compression and statistical estimation ) . In the remainder of this
J10-3010 training data . 4.3 Phrase Extraction Statistical estimation of alignment models is done by
J84-1002 activity can provide reliable statistical estimations for the frequency z ( e ) of
C96-1004 1989 ) which is a principle for statistical estimation in information theory . It is
J93-1001 by training on real data using statistical estimation procedures such as the Forward
N03-1027 conclude that , just as in other statistical estimation problems , there are generalizations
J99-4002 of probability theory and with statistical estimation ( e.g. , Box and Tiao 1973 )
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