__init__(sentence_aligned_corpus) |
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best_model2_alignment(sentence_pair[, ...]) |
Finds the best alignment according to IBM Model 2 |
hillclimb(alignment_info[, j_pegged]) |
Starting from the alignment in alignment_info, look at |
init_vocab(sentence_aligned_corpus) |
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maximize_fertility_probabilities(counts) |
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maximize_lexical_translation_probabilities(counts) |
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maximize_null_generation_probabilities(counts) |
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neighboring(alignment_info[, j_pegged]) |
Determine the neighbors of alignment_info, obtained by |
prob_of_alignments(alignments) |
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prob_t_a_given_s(alignment_info) |
Probability of target sentence and an alignment given the |
reset_probabilities() |
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sample(sentence_pair) |
Sample the most probable alignments from the entire alignment |
set_uniform_probabilities(...) |
Initialize probability tables to a uniform distribution |