anti-ngram.1

这是一款很好用的工具包

anti-ngram(1)                                       anti-ngram(1)



NNAAMMEE
       anti-ngram  -  count  posterior-weighted N-grams in N-best
       lists

SSYYNNOOPPSSIISS
       aannttii--nnggrraamm [--hheellpp] _o_p_t_i_o_n ...

DDEESSCCRRIIPPTTIIOONN
       aannttii--nnggrraamm counts the N-grams in a set of N-best  hypothe-
       ses  lists.   The N-gram counts are weighted by the poste-
       rior probabilities of the hypotheses they occur in.  Thus,
       aannttii--nnggrraamm  can  be  used  to construct language models of
       word sequences that are acoustically confusable with  cor-
       rect  hypotheses.   The  counts output should be processed
       with nnggrraamm--ccoouunntt  --ffllooaatt--ccoouunnttss  to  estimate  a  language
       model.

OOPPTTIIOONNSS
       Each  filename  argument  can  be an ASCII file, or a com-
       pressed file (name ending in .Z or .gz), or ``-'' to indi-
       cate stdin/stdout.

       --hheellpp  Print option summary.

       --vveerrssiioonn
              Print version information.

       --rreeffss _f_i_l_e
              Read  the  reference  transcripts  from _f_i_l_e.  Each
              line should contain an utterance ID followed by the
              transcript words.

       --nnbbeesstt--ffiilleess _f_i_l_e
              List of N-best files.  The base components of file-
              names must correspond to the utterance IDs found in
              the reference file.

       --mmaaxx--nnbbeesstt _n
              Limits  the  number of hypotheses read from each N-
              best list to the first _n.

       --oorrddeerr _n
              Set the maximal order (length) of N-grams to count.
              The default order is 3.

       --llmm _f_i_l_e
              Reads an ARPA language model from _f_i_l_e and rescores
              the N-best lists with it prior to counting N-grams.

       --ccllaasssseess _f_i_l_e
              Interpret  the  LM as a class-based N-gram and read
              class definitions in ccllaasssseess--ffoorrmmaatt(5) from _f_i_l_e.

       --ttoolloowweerr
              Map vocabulary to lowercase, eliminating case  dis-
              tinctions.

       --mmuullttiiwwoorrddss
              Split  multiwords  (words joined by '_') into their
              components when reading N-best lists.

       --rreessccoorree--llmmww _l_m_w
              Sets the language model weight  used  in  combining
              the  language model log probabilities with acoustic
              log probabilities (only relevant if separate scores
              are given in the N-best input).

       --rreessccoorree--wwttww _w_t_w
              Sets  the word transition weight used to weight the
              number of words relative to the acoustic log proba-
              bilities  (only  relevant  if  separate  scores are
              given in the N-best input).

       --ppoosstteerriioorr--ssccaallee _s_c_a_l_e
              Divide the total weighted log score by  _s_c_a_l_e  when
              computing normalized posterior probabilities.  This
              controls the peakedness of the posterior  distribu-
              tion.  The default value is whatever was chosen for
              --rreessccoorree--llmmww, so that  language  model  scores  are
              scaled  to  have weight 1, and acoustic scores have
              weight 1/_l_m_w.

       --aallll--nnggrraammss
              Causes even N-grams that  occur  in  the  reference
              string  to  be  counted.  By default N-best N-grams
              that also occur in the corresponding reference  are
              excluded.

       --mmiinn--ccoouunntt _C
              Prune  all N-grams from the output that have counts
              less than _C.

       --rreeaadd--ccoouunnttss _c_o_u_n_t_s_f_i_l_e
              Read N-gram counts from a file.  Each line contains
              an N-gram of words, followed by an integer or frac-
              tional  count,   all   separated   by   whitespace.
              Repeated  counts for the same N-gram are added.  N-
              grams from N-best lists are  added  to  those  read
              with this option.

       --wwrriittee--ccoouunnttss _c_o_u_n_t_s_f_i_l_e
              Writes  total  N-gram  counts  to  _c_o_u_n_t_s_f_i_l_e.  The
              default is to write to stdout.

       --ssoorrtt  Output counts in lexicographic order,  as  required
              for nnggrraamm--mmeerrggee(1).

       --ddeebbuugg _l_e_v_e_l
              Set  debugging  output  level.   Level  0  means no
              debugging.   Debugging  messages  are  written   to
              stderr.

SSEEEE AALLSSOO
       ngram(1),     ngram-merge(1),    ngram-count(1),    nbest-
       scripts(1), classes-format(5),
       A. Stolcke et al., "The SRI  March  2000  Hub-5  Conversa-
       tional  Speech  Transcription  System",  _P_r_o_c_. _N_I_S_T _S_p_e_e_c_h
       _T_r_a_n_s_c_r_i_p_t_i_o_n _W_o_r_k_s_h_o_p, College Park, MD, 2000.

BBUUGGSS
       There is no --vvooccaabb option to limit the vocabulary.

AAUUTTHHOORR
       Andreas Stolcke <[e-mail]>.
       Copyright 2000-2004 SRI International



SRILM Tools        $Date: 2004/12/03 17:59:01 $     anti-ngram(1)