38 lines
3.5 KiB
Plaintext
38 lines
3.5 KiB
Plaintext
File(3) - Wrapper for stdio streams
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LM(3) - Generic language model
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Prob(3) - Probabilities for SRILM
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TEMPLATE(1), XXX(1) - XXX
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TEMPLATE(3), XXX(3) - XXX
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TEMPLATE(5), XXX(5) - XXX
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TEMPLATE(7), XXX(7) - XXX
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Vocab(3) - Vocabulary indexing for SRILM
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anti-ngram(1) - count posterior-weighted N-grams in N-best lists
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classes-format(5) - File format for word class definitions
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disambig(1) - disambiguate text tokens using an N-gram model
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hidden-ngram(1) - tag hidden events between words
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lattice-tool(1) - manipulate word lattices
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lm-scripts(1), add-dummy-bows(1), change-lm-vocab(1), empty-sentence-lm(1), get-unigram-probs(1), make-hiddens-lm(1), make-lm-subset(1), make-sub-lm(1), remove-lowprob-ngrams(1), reverse-lm(1), sort-lm(1) - manipulate N-gram language models
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metadb(1) - retrieve configuration information
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multi-ngram(1) - build multiword N-gram models
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nbest-format(5) - File formats for N-best hypotheses lists
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nbest-lattice(1) - rescore N-best lists and lattices
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nbest-mix(1) - interpolate N-best posterior probabilities
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nbest-optimize(1) - optimize score combination for N-best word error minimization
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nbest-pron-score(1) - score pronunciations and pauses in N-best hypotheses
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nbest-scripts(1), combine-rover-controls(1), compare-sclite(1), compute-sclite(1), fix-ctm(1), merge-nbest(1), nbest-error(1), nbest-posteriors(1), nbest-rover(1), nbest-vocab(1), nbest2-to-nbest1(1), rescore-acoustic(1), rescore-decipher(1), rescore-reweight(1), sentid-to-sclite(1) - rescore and evaluate N-best lists
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ngram(1) - apply N-gram language models
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ngram-class(1) - induce word classes from N-gram statistics
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ngram-count(1) - count N-grams and estimate language models
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ngram-discount(7) - notes on the N-gram smoothing implementations in SRILM
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ngram-format(5) - File format for ARPA backoff N-gram models
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ngram-merge(1) - merge N-gram counts
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pfsg-format(5) - File format for Decipher(TM) probabilistic finite-state grammars
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pfsg-scripts(1), add-classes-to-pfsg(1), add-pauses-to-pfsg(1), classes-to-fsm(1), fsm-to-pfsg(1), htklat-vocab(1), make-nbest-pfsg(1), make-ngram-pfsg(1), pfsg-from-ngram(1), pfsg-to-dot(1), pfsg-to-fsm(1), pfsg-vocab(1), wlat-stats(1), wlat-to-dot(1), wlat-to-pfsg(1) - create and manipulate finite-state networks
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ppl-scripts(1), add-ppls(1), compare-ppls(1), compute-best-mix(1), compute-best-sentence-mix(1), jilter-event-counts(1), hits-from-log(1), ppl-from-log(1), subtract-ppls(1) - manipulate perplexities
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segment(1) - segment text using N-gram language model
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segment-nbest(1) - rescore and segment N-best lists using hidden segment N-gram model
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select-vocab(1) - Select a maximum-likelihood vocabulary from a mixture of corpora
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srilm-faq(7), SRILM-FAQ(7) - Frequently asked questions about SRI LM tools
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training-scripts(1), compute-oov-rate(1), continuous-ngram-count(1), get-gt-counts(1), make-abs-discount(1), make-batch-counts(1), make-big-lm(1), make-diacritic-map(1), make-google-ngrams(1), make-gt-discounts(1), make-kn-counts(1), make-kn-discounts(1), merge-batch-counts(1), replace-words-with-classes(1), reverse-ngram-counts(1), split-tagged-ngrams(1), reverse-text(1), tolower-ngram-counts(1), uniform-classes(1), uniq-ngram-counts(1), vp2text(1) - miscellaneous conveniences for language model training
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wlat-format(5) - File format for SRILM word posterior lattices
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