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According to the 2005 Current Population Survey, a single 30-year-old woman is more likely to marry by age 40 if she has a graduate degree than if she doesn't.… continue reading »
'm1g'=geometric mean of model 1, 'm1'=arithmetic mean of model 1, 'uni'=simple unigrams, 'coocll'=log-linear interpolation of phrase cooccurrence probabilities in both directions (default 'm1g') -coocdisc How much to discount the cooccurrence for phrasal base measures -defstren Fixed strength of the PY process (default none) -defdisc Fixed discount of the PY process (default none) -nullprob The probability of a null alignment (default 0.01) -noremnull Do not remember nulls in the phrase table -termprior The prior probability of generating a terminal (0.33) -termstren Strength of the type distribution (default 1) -domh Do a Metropolis-Hastings rejection step ~~~ Phrase Table ~~~ -maxphraselen The maximum length of a minimal phrase (default 7) -maxsentlen The maximum length of sentences to use (default 40) -printmax The maximum length of phrases included in the phrase table (default 7) -printmin The minimal length of phrases included in the phrase table (default 1) -noword Output only phrase alignments (do not force output of word alignments) ~~~ Inference Parameters ~~~ -burnin The number of burn-in iterations (default 9) -probwidth The width of the probability beam to use (default 1e-4) -noqueue Use exhaustive search instead of queue-based parsing -lookahead The type of lookahead function to use: 'none'=no look-ahead, 'ind'=independently calculate both sides -samps The number of samples to take (default 1) -samprate Take samples every samprate turns (default 1) -worditers The number of iterations to perform with a word-based model (default 0) -noshuffle Don't shuffle the order of the sentences -batchlen The number of sentences to process in a single batch -threads The number of threads to use (must be This can be done by running the script "script/itgstats.pl" on "align.1" There are three types of word alignments that you can create, many-to-many (phrase) alignments, one-to-many (block) alignments, and one-to-one (word) alignments.… continue reading »