W10-2912 segmented words . Unlike popular statistical optimization techniques , the learner uses
W10-2912 1973 ) , and learners relying on statistical optimization are generally not . A child 's
J88-1003 Grammatical Category Disambiguation by Statistical Optimization Book Encyclopedia text " ( p.
J88-1003 Grammatical Category Disambiguation by Statistical Optimization those particular instances in
P04-1029 statistical optimizations . Such statistical optimizations rely on data collected during
C00-2093 efficiency . One option is to use a statistical optimization method such as a genetic algorithm
P04-1029 with the improvements gained by statistical optimizations , and is still compatible with
P04-1029 highly efficient parser , while statistical optimization can be applied as a second step
W10-2912 childdirected speech has operated within statistical optimization frameworks , particularly Bayesian
W10-2912 ( Marcus et al. , 1992 ) that statistical optimization techniques typically do not go
J79-1042 percent was achieved without any statistical optimization . A characteristic property of
P04-1029 improvements are comparable with those of statistical optimizations . Such statistical optimizations
W10-2912 take a different approach than statistical optimization approaches by exploring how well
J88-1003 Grammatical Category Disambiguation by Statistical Optimization of these quantities versus the
J88-1003 GRAMMATICAL CATEGORY DISAMBIGUATION STATISTICAL OPTIMIZATION </title> Steven J DeRose Steven
P04-1029 sec - onds . 5.2 Comparison with statistical optimizations Non-statistical optimizations
J88-1003 GRAMMATICAL CATEGORY DISAMBIGUATION BY STATISTICAL OPTIMIZATION Steven J. DeRose Brown University
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