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@!A"B#C$D%E&F'G(H)I*J+KV,L-M.N/O^_  ./`arsjk}~0iI1^_?Dump of SCORES: Title: %s %8s NS:%d SE:%d C:%d S:%d D:%d I:%d M:%d P:%d NIST_TEXT_ALIGNMENT VERSION 0.1 DUMP OF SYSTEM ALIGNMENT STRUCTURE System name: %s Ref file: %s Hyp file: %s Creation date: "%s" Word Weight Aligned by file: "%s" Fragment Correct Flag Set Optionally Deletable Flag Set Speaker Count: %d Speakers: %2d: %s Utterance Label definitions: Category: id: "%s" title: "%s" description: "%s" Label: id: "%s" title: "%s" description: "%s" No utterances found Speaker sentences%4d: %s utt# %d of %d Speaker sentences%4d: %s #utts: %d ;TRUEFALSE ;; LABEL ;; CATEGORY ExpandingWarning: Unknown Alignment Evaluation %d Unable to parse SGML tag '%s'SCORE array too small, increase size titleref_fnamehyp_fnamecreation_datefrag_corropt_delweight_aliweight_filename of SYSTEM tagSPEAKER tag '%s' found outside%sidPATH of SPEAKER tagPATH tag '%s' found outside%sword_cntlabelschannelsequenceR_T1R_T2H_T1H_T2char_aligncase_sensehyp_weightref_weightword_auxToo many auxillary word items > %d, expand 'max_word_aux' and recompileh_spkrh_isSpkrSubWarning: Unknown word auxillary info type '%s' LABELdesc;; %s id="%s" title="%s" desc="%s" CATEGORYWarning: %s tag '%s' found outside of SYSTEM flag Unable to delete SGML end tag '%s'Unknown Alignment type '%c'Word parse error, at %s of %sWord parse error, at %sWarning: Auxillary word values exist, but none have been defined in the 'word_aux' field Warning: More auxillary word values than defined Illegal auxillary time format '%s'Warning: Unknown auxillary field type load_SCORES_sgml%s: Ignored data outside of PATH tag %sError: %s %s %6.1f %5.0f %5.1f rawraw %s.%s Writing %sscoring report to '%s' Scoring Summmary of Word Errors by SpeakerScoring Summmary of Percent Word Error by SpeakerSpkr %s Average Sum Mean StdDev Median Warning: %d of %d confidence scores were not in the range (0.0,1.0) wws# Chr# Wrd%5.1f+%7.3f %7.3f#Warning: Ignoring confidence scores in output SYSTEM SUMMARY PERCENTAGES by SPEAKER %s ********************************************************************** %s ***** Word Percentages Computed using Weighted Word Scoring ******* Weights defined by file: '%s' Warning: Split and/or Merges found, but not reported SubCorr # Sntl|cc|ccccccccS.Err Err Spl Mrg Ins Dell|cc|ccccccl|cc|cccccccc|cNCEl|cc|cccccc|c%5d%5.0f*# Sumc|cc|ccccccccc|cc|ccccccc|cc|cccccccc|cc|cc|cccccc|c S.D. Median * No Reference words for this/these speaker(s). Word counts supplied rather than percents. # No Reference words for this/these speaker(s). NCE not computable. + Speaker(s) with no reference data is ignored res Writing %sexecutive scoring report to '%s' c|cc|caaaaal|cc|llllllExecutive Scoring Summary by Word TokensExecutive Scoring Summary by Percentages# Ref%.1f%s.prn Writing Multi-system alignments to '%s' DY/n?Y@$@P?Hz>+eG?@@@Error: wwd_WORD computed for two NULL_WORDS %sync%time%s%s(%s)NULL_WORDWORD id=%d str=%s conf=%f tag1=%s tag2=%s frag_corr=%d opt_del=%d weight=%f WORD %s T1:%3.2f Dur:%3.2f T2:%3.2f Conf:%5.4f Tag1:%s Tag2:%s frag_corr=%d opt_del=%d weight=%f A: %20s %8s %8s -> A: %20s %8.2f %8.2f -> B: %20s %8s %8s B: %20s %8.2f %8.2f o:@@@@?A@'7pAMbP?char in set %c -> %c Dump of description: %d Total Columns Columns definitions: %2d: %2d Col: %c - '%c' Lock: %c Report Width: %d Before Row Separations: %d-'%c'After Row Separations: Table Row Values: %d Rows %d: (Just %d) C%d Maxlen Columns (1st Pass): %d Col: %2d Redistribute for Row %d, columns %d-%d Unlocked Col %d Span_Size %d adjusting column size %d Adding NONE Maxlen Columns (2nd Pass): Computing Report width per justification: Just %d: Col:%d Width %d Row %d: Just:%d #C:%d Adj:%d Widths C%d:%d-%d(%d) || %s%%%ds%s%s%%-%ds%sundefined inter column space Error: You just tried to add information into column %d using the iterated report generation functions. This suite of functions could not be made general in size because the 'Desc_flush_iterated_row()' function must explicitly list N arguments. You will have to manually change, iter_max_val, and to function to handle more columns Error: an interated value was added to a column outside the RPG's defined size Desc_add_row_values Format %s id %d value %d %s Error: unable to open ascii report file '%s' center_page %d separate "%c" BEFORE_ROW separate "%c" AFTER_ROW row "%s"? X2 DISTRIBUTION TABLE %s %2.3f %s Reject if %s Z > (+%1.3f) or Z < (-%1.3f) %s Z = %1.3f %s SUMMARY: ------- There is a significant difference between the test results using a %s confidence level. Further, the probablity of there being a difference is There is no significant difference between the test results using a %s confidence level. between %s to %s.99%98%95%90%80%70%50%30%20%10%.1%99.9%df1df2df3df4df5df6df7df8df9df10df11df12df13df14df15df16df17df18df19df20df21df22df23df24df25df26df27df28df29df3001%02%97%03%96%04%05%94%06%93%07%92%08%91%09%?e ?T|2[A?đb?Qh?bmV?uT}?Njv?S+?E+R%?ODF?ff?j?.s? ?? ]?(>?)#?Y,?w5?xՉ??ρH?8h P?@@XY?b_Hb?YOj? s?5{?(O??n&?^?4 /-? ?H as?'?Erշ?sv׾?z?vdQ}?"??'(?{\? ?$?{k?VB)?>Z1 ?j)S?t"?{?qmM?322m$?[0t)?b.?P73?Eo7?x\W[?U??ܣ?,1???7t?2M}? ?P?h?ꗈ?g?⚖?éŖ?y?Ps'?1 ?5r?S_/?ʣ? ?Ga?~??Ce (?,j?>v? ?2{?|:f?Ar?]iI?iPU??,?ߔ?)h?UwE??G?lV^? }f?xGj? ??#qE? U?/$??t?pJf?4??{Cs?掣?QYJ?>?#c?' ?\rV?"??2h2-?hMb?2?B??=9?sQo?sQo??ޑ?wa?wa?I\F?I\F?~A{?&q?&q? !? !???TրR?TրR?TրR?0?0?0????????*k@)?*k@)?*k@)?*k@)?*k@)?*k@)?`P^?`P^?`P^?`P^?5?5?5?5?5?5?5?5?5?5?5?P?P?{Gz?{Gz?Q?{Gz??Q?Q?{Gz? ףp= ?{n?)\(?Q?p= ף?Q?333333?{Gz?(\? ףp= ?RQ??zG?)\(?q= ףp?Q??p= ף?HzG?Q?(\?333333?ףp= ?{Gz?Q?(\?ffffff? ףp= ?Gz?RQ?(\??= ףp=?zG?Q?)\(??q= ףp?Gz?Q?\(\??RQ?p= ף?(\?HzG??Q?= ףp=?(\?zG?333333?Q?ףp= ?)\(?{Gz??Q?q= ףp?(\?Gz?ffffff?Q? ףp= ?\(\?Gz??RQ?p= ף?(\?HzG??Q?= ףp=?(\?zG?333333?Q?ףp= ?)\(?{Gz??Q?q= ףp?(\?Gz?ffffff?Q? ףp= ?\(\?yb1E??)\(?RQ?{Gz?p= ף??(\?Q?HzG?q= ףp??(\?Q?Gz?= ףp=?ffffff?(\?Q?zG? ףp= ?333333?\(\?Q?Gz?ףp= ??)\(?RQ?{Gz?p= ף??(\?Q?HzG?q= ףp??(\?Q?Gz?= ףp=?ffffff?(\?Q?zG? ףp= ?333333?\(\?Q?Gz?ףp= ??)\(?RQ?{Gz?p= ף??(\?Q?HzG?q= ףp??(\?Q?Gz?= ףp=?ffffff?(\?Q?zG? ףp= ?333333?\(\?Q?Gz?ףp= ??)\(?RQ?{Gz?p= ף??(\?Q?HzG?q= ףp??(\?Q?Gz?= ףp=?ffffff?(\?Q?zG? ףp= ?333333?\(\?Q?Gz?ףp= ?@Gz@)\(@= ףp=@RQ@ffffff@{Gz@(\@p= ף@Q@@zG@(\@ ףp= @Q@333333@HzG@\(\@q= ףp@Q@@Gz@(\@ףp= @Q@@Gz@)\(@= ףp=@RQ@ffffff@{Gz@(\@p= ף@Q@@zG@(\@ ףp= @Q@333333@HzG@\(\@q= ףp@Q@@Gz@(\@ףp= @Q@@Gz@)\(@= ףp=@RQ@ffffff@{Gz@(\@p= ף@Q@@zG@(\@ ףp= @Q@333333@HzG@\(\@q= ףp@Q@@Gz@(\@ףp= @Q@@Gz@)\(@= ףp=@RQ@ffffff@{Gz@(\@p= ף@Q@@zG@(\@ ףp= @Q@333333@HzG@\(\@q= ףp@Q@@Gz@(\@ףp= @Q@@Gz@)\(@= ףp=@RQ@ffffff@{Gz@(\@p= ף@Q@@zG@(\@ ףp= @Q @333333 @HzG @\(\ @q= ףp @Q @ @Gz @(\ @ףp= @Q @ @Gz @)\( @= ףp= @RQ @ffffff @{Gz @(\ @p= ף @Q @ @zG @(\ @ ףp= @Q @333333 @HzG @\(\ @q= ףp @Q @ @Gz @(\ @ףp= @Q @ @Gz @)\( @= ףp= @RQ @ffffff @{Gz @(\ @p= ף @Q @ @zG @(\ @ ףp= @Q @333333 @HzG @\(\ @q= ףp @Q @ @Gz @(\ @ףp= @Q @@Gz@)\(@= ףp=@RQ@ffffff@{Gz@(\@p= ף@Q@@zG@(\@ ףp= @Q@333333@HzG@\(\@q= ףp@Q@@Gz@(\@ףp= @Q@@ ףp= @Gz@Q@)\(@333333@= ףp=@HzG@RQ@\(\@ffffff@q= ףp@{Gz@Q@(\@@p= ף@Gz@Q@(\@@ףp= @zG@Q@(\@@ ףp= @Gz@Q@)\(@333333@= ףp=@HzG@RQ@\(\@ffffff@q= ףp@{Gz@Q@(\@@p= ף@Gz@Q@(\@@ףp= @zG@Q@(\@@ ףp= @Gz@Q@)\(@333333@= ףp=@HzG@RQ@\(\@ffffff@q= ףp@{Gz@Q@(\@@p= ף@Gz@Q@(\@@ףp= @zG@Q@(\@@ ףp= @Gz@Q@)\(@333333@= ףp=@HzG@RQ@\(\@ffffff@q= ףp@{Gz@Q@(\@@p= ף@Gz@Q@(\@@ףp= @zG@Q@(\@@ ףp= @Gz@Q@)\(@333333@= ףp=@HzG@RQ@\(\@ffffff@q= ףp@{Gz@Q@(\@@Error: center utility in pad.c failed, buffer should be larger than %d TAG: %d %s Atrribs:%s="%s" Error: Too many SGML tags < %d >AUTO_LEX_insertEntering %s: new='%s' %s: Expanding Data Array Adding to Lexicon, ind = %d Shifting down data arrayAUTO_LEX_get_cEntering %s: AUTO_LEX_getAUTO_LEX_dumpDump of AUTO LEX: %d items ind %4d: Str: %30s lsort: %3d field_a: %3d field_b: %3d field_c: %f AUTO_LEX_printoutError: internal error in %s, Call NIST %-30s Total (%d) %-30s With >=%3d occurances (%d) %4d: %4d -> %s ------- %5d %s ==> %s%s.snt.%s Writing sentence scoring report for speaker '%s' to '%s' =============================================================================== SENTENCE LEVEL REPORT FOR THE SYSTEM: Name: %s SPEAKER %s Correct = %5.1f%% %2d (%3d) Substitutions = %5.1f%% %2d (%3d) Deletions = %5.1f%% %2d (%3d) Insertions = %5.1f%% %2d (%3d) UNKNOWN = %5.1f%% %2d (%3d) Errors = %5.1f%% %2d (%3d) Correct = UNDEF%% %2d (%3d) Substitutions = UNDEF%% %2d (%3d) Deletions = UNDEF%% %2d (%3d) Insertions = UNDEF%% %2d (%3d) UNKNOWN = UNDEF%% %2d (%3d) Errors = UNDEF%% %2d (%3d) Ref. words = %2d (%3d) Hyp. words = %2d (%3d) Aligned words = %2d (%3d) ------------------------------------------------------------------------------- %s.spk.%s Writing speaker scoring report for '%s' to '%s' SCORING FOR SPEAKER: %s of %s SENTENCE RECOGNITION PERFORMANCE sentences %4d with errors %5.1f%% (%4d) with substitions %5.1f%% (%4d) with deletions %5.1f%% (%4d) with insertions %5.1f%% (%4d) WORD RECOGNITION PERFORMANCE Percent Total Error = %5.1f%% (%4d) Percent Correct = %5.1f%% (%4d) Percent Substitution = %5.1f%% (%4d) Percent Deletions = %5.1f%% (%4d) Percent Insertions = %5.1f%% (%4d) Percent Word Accuracy = %5.1f%% Percent Total Error = UNDEF%% (%4d) Percent Correct = UNDEF%% (%4d) Percent Substitution = UNDEF%% (%4d) Percent Deletions = UNDEF%% (%4d) Percent Insertions = UNDEF%% (%4d) Percent Word Accuracy = UNDEF%% Ref. words = (%4d) Hyp. words = (%4d) Aligned words = (%4d) CONFUSION PAIRSINSERTIONSDELETIONSSUBSTITUTIONS* NOTE: The 'Substitution' words are those reference words for which the recognizer supplied an incorrect word. FALSELY RECOGNIZED* NOTE: The 'Falsely Recognized' words are those hypothesis words which the recognizer incorrectly substituted for a reference word. %s.dtl Writing overall detailed scoring report '%s' DETAILED OVERALL REPORT FOR THE SYSTEM: %s Warning: Found r = %f Warning: %d Confidence scores out of binning range %f:%f Writing DET Curve to '%s.det.[plt,dat]' Skipping DET Curve, no confidence scores supplied.%s.det.pltError: Unable to open DET Curve GNUPLOT file '%s' for writing.## GNUPLOT command file set data style lines set size 0.78, 1.0 set noxtics set noytics set title 'DET plot for %s' set nokey set title 'DET plot for %s Test' set title 'DET plot' set ylabel "Correct Words Removed (in %%)" set xlabel "Incorrect Words Retained (in %%)" set grid ("0.1" -3.08, "0.5" -2.57, "2" -2.05, "5" -1.64, "10" -1.28, "20" -0.84, "30" -0.52, "40" -0.25, "50" 0.0, "60" 0.25, "70" 0.52, "80" 0.84, "90" 1.28, "95" 1.64, "98" 2.05, "99.5" 2.57, "99.9" 3.08)set ytics %s set xtics %s plot [-3.290527:3.290527] [-3.290527:3.290527] \ %s.det.dat.%02dError: Unable to open DET Curve data file '%s' for writing. "%s.det.dat.%02d" using 2:1 title "%s" with lines %d, \set ytics set xtics set size 1.0, 1.0 set key Writing Confidence Histogram '%s.hist.[plt,dat]' Skipping Confidence Histogram, no confidence scores supplied.%s.hist.dat%s.bhist.dat1Error: Writing Binned Histogram file '%s' for writing.%f %f %f %f %s.hist.plt%s.bhist.pltError: Unable to open Binned HistogramGNUPLOT file '%s' for writing.set samples 1000 set xrange [0.000000:1.000000] set autoscale y set nogrid set ylabel 'Counts' set xlabel 'Confidence Measure' set title 'Confidence scores for %s' plot '%s.hist.dat' using 1:2 '%%f%%f' title 'All Conf.' with lines, \ '%s.hist.dat' using 1:2 '%%f%%*s%%f' title 'Correct Conf.' with lines, \ '%s.hist.dat' using 1:2 '%%f%%*s%%*s%%f' title 'Incorrect Conf.' with lines Writing Binned Histogram '%s.bhist.[plt,dat1]' Skipping Binned Histogram, no confidence scores supplied.%.4f %f 1 1 0.1 set key 30.000000,90.000000 set xrange [0:1] set yrange [0:100] set ylabel '%% Hypothesis Correct' set xlabel 'Confidence Scores' set title 'Binned Confidence scores for %s' set size 0.78,1 set nolabel plot '%s.bhist.dat1' title 'True' with boxes,\ x*100 title 'Predicted' with lines Writing Scaled Binned Histogram '%s.sbhist.[plt,dat]' Skipping Scaled Binned Histogram, no confidence scores supplied.%s.sbhist.datError: Writing Scaled Binned Histogram file '%s' for writing.%f %f 1 1 %f %s.sbhist.pltError: Unable to open Scaled Binned HistogramGNUPLOT file '%s' for writing.set title 'Scaled Binned Confidence scores for %s' plot '%s.sbhist.dat' title 'True' with boxes, x*100 title 'Expected' v>> Error: Failed to add header data lines for PRN report. System names too long. increase via -l option %s%%-%ds%s:SCORES CORRESPONDENCE Common groups Warning: system %s has non-unique speakers:Warning: system %s, speaker %s has non-unique path:;; Reference strings not identical, dumping individual paths Error: these are paths are not compatableId: %s Lattice Analysis: #refWords %d #refErrWords %d Common scoring speakers and segments Version 0.1 name: %s Ref: %s Hyp: %s End of Represented Systems End of Utterance Label Definitions Utterance Label Definitions: Speaker: %s Lattice Summary: #TotRefWords %d #TotRefErrWords %d Accuracy %5.2f List of not correct reference wordsError: a call to lookup_lm_word_weight() was made even though the SLM toolkit has not been included in the compilation of SCTK add_to_arc_listDB: Entering %s %sadding arc: %slooking for arc:%sarcs are equal %s new_atom created. %s empty list %s non-empty list DB: Leaving %s del_from_arc_listmake_arcmake_node%s:*ERR: add_to_arc_list() returns %d Fkill_arc%s killing arc @%p reset_net_pointer Arc From: %9s To: **NULL** addr: %p weight: %d data addr: %p Adding Node name: %9s addr: %p Adding Node name: %9s addr: %p Error: add_to_arc_list in find_null_arcs failed Node name: %9s is_start='%s', is_stop='%s', flag1='%d', flag2='%08x' Network_traverseNet: %p Mode: %x Static Variables: traversal_id_set=%8x, num_trav=%d %s: Null Network Pointer Passed TRAVERSAL STARTED: %d ACTIVE cur_id=%d flag_bit=%x traversal_id_set=%x cur=%x flip=%x Traverse Network Network name: '%s' highest_nnode_name = %d Node Count = %d Arc Count = %d Mode = %x %s: LL_get_first failed POPPED NODE: About to push Cs %x********* Node still has incoming arcs********* Node already visited Mod_flag2 %x %s: Error, too many traversals > %d Network_delete_arc %s: Arc: From_NODE: To_NODE: The To NODE has no in_arcs, re-linkingSTOP Special case for the STOP NODESTART Re-linking arc from the from_node, to the to_node, and deleting from_node Returning network to init state Re-linking arc: Network_destroyLeaving: %s Network_merge_networkFrom Node: To Node: M%dLinking in arcsLinking out arcsExiting %s: Network_initNet name: %s %s:*ERR: make_node(START) returns %d NETWORK_insert_arc_after_node%s:*ERR: make_node() returns %d Network_add_arc_to_headNet: %pItem: Network_add_net_to_tailError: %s failed to add a null arc Error: %s failed to merge the network Error: %s failed to delete null arc NETWORK_insert_arc_before_nodeNetwork_add_arc_to_tailNetwork_create_from_TEXT function args: text='%s' Token: '%s', ctext: %s Error: Network_add_arc_to_tail failed in %s expand_alternates%s: alternates found in arc Token: '%s' Alt-net %d%s: merge net 1 %s: merge net 2 %s: Resulting net Network After MergeNetwork_create_from_WTOKE words from %d to %d Error: Network_add_arc_to_tail Error: Network_add_arc_to_head Error: %s failed to produce a network for an alternation. Possible file format error. Error: Network_add_net_to_tail failed in %s Error: Network_add_net_to_head failed in %s Adding: '%s' Ignored: '%s' NETWORK_insert_arc_between_nodeNetwork_fully_connect_condNet: %p Connect_factor: %d%s: Arcset %2d: ============================================Setting out the out_netPrime oup the networkSearching for arcsnt_copy_arcError: Internal error to '%s' Completed search-------------- OUT_NETAdding new arctmp netInternal error in %s -------------- SNETAfter TraversalAfter Merge networkAfter add node in node map----------------- resulting networknode '%s' flag2 = '%08x' Network_sgml_dump Network_delete_null_arcsError: del_from_arc_list failed in %sNetwork_copyCopy of %s%s: Beginning copy %s: deleting arcs with NULL's kill_node2%s killing node @%p, w/name '%s' %s killing in-arc list: %s killing out-arc list: %s killing node name: %s killing node: %s: Unable to add (void *)0 to Net A Error: find_arcset_id found the arc after from Computing TREE DELETE COST [%d][%d]: Error: find_arcset_id failed in look back to cell: %d,%d Min_d=%4.2f cell [%d][%d] Computing TREE INSERT COST [%d][%d]: Error: find_arcset_id failed Min_d=%4.2f back_a=%d back_b=%d Computing TREE SUBSITUTION Cost [%d][%d]: Error: netA find_arcset_id failed Error: netB find_arcset_id failed Min_d=%4.2f cell [%d][%d] Computing minimized cost of [%d][%d]: Tree: Ins = %f Del = %f Sub = %f Tree+wwd: Ins = %f Del = %f Sub = %f Min_d=%4.2f back_a=%d back_b=%d ALIGN_NET_DBLcreate_alinged_NETWORKError: find_arcset_id for Net A failed Error: find_arcset_id for Net B failed Minimal Start point: D(%d,%d) = %f %s: SUB %s: Insert copy of B_arc%s: between A_arcs(from)%s: A_arcs(to) %s: DEL %s: Insert copy of null_alt %s: INS %s: Insert a subnet with %d null arcs and a copy of b_arc %s: Insert copy of B_arc%s: At A_arcs(to_node) ERROR OCCUREDInternal Error Dump of net_ali: Arc List from Network A Arc List from Network B %3d %3d D%6.3f I=D=S=%2d,%2d Counting hops a=%d b=%d %d,%d Insertion of nullsdeletion of nullsubstition of to nullsMinimal Start point: D(%d,%d) = %f hops(%d) *Corr Del %d %d Sub %d %d CORR INS %d %d alloc_NET_ALIGNNET_ALIGN: %p na=%d nb=%d %s: Free-ing previous data structure setup_NET_ALIGN%s: alloc_NET_ALIGN failed NET_DP_DBLNetwork_dpalign_n_networksError: %s unable to copy networks %s: ---------------------------------------- %s: Input network %d %s: STARTING OUTPUT NETOWRK %s: Output Network %d Network_dpalignEntering %s: %sdestroying %s's data destroy_NET_ALIGNcleanup_NET_ALIGN%%0%dsCount = %d #tI?Parsed: file: %s chan: %s spkr: %s t1 : %f t2 : %f text: %s Error: Can't open STM words file '%s' dump_STM%s: Range [%d,%d] of [%d,%d] %d: %s chan: %s Spkr: %s T1: %f T2:%f Text: '%s' Error: Unable to open input STM file '%s' Error: Unable to open STM word file '%s' ; *Err: Error detected in STM file '%s' expand_words_to_chars%s: String length > 1 expand-net %dproc %s: Internal error. Unable to expand words to characters Error: Unparsable utterance id %s extract_speakerError: %s can't locate RM%s id %s SPU_IDSWB*** internal error Error: %s unknown id type Can't open input hypothesis file %s Can't open input Reference file %s Error: double reference text for id '%s' Error: Not enough Reference files loaded Missing: infer_word_seg_algo2Error: %s passed ambiguous arguments for 'hyp' and 'hnet' Error: Can't load lexicon file '%s' Reference NetNetwork_create_from_TEXT failed Hypothesis Netinfer_word_seg_algo1network_dp_align_textsError: %s passed ambiguous arguments for 'ref' and 'rnet' %s Column "%s" Alignment# %d for speaker %s Error: Unable to locate Ref transcript for '%s' HYP -> %s REF -> %s Error: unknown alignment procedure Error: Unable to open Hypothesis word file '%s' Error: Unable to open Reference word file '%s' Error: Failed to alloc word in process_diff_line /tmp/ref.%d/tmp/hyp.%dCan't locate temp file names. Searched /tmp/ref.[%d-%d] Loading transcripts Executing diff-yError: Execution of 'diff' failed REF: %s HYP: %s Error: Unexpected number of output utts. Missing %d Can't open input reference file %s align_ctm_to_stm%s: Failed to alloc STM struct ; *Err: Error detected in hyp file '%s' %s: Channel Mis-match, 1 in Hyp, 2 in Ref %s: Channel Mis-match, 2 in Hyp, 1 in Ref Performing alignments for file '%s'. %s: hyp CTM File Range [%d,%d] Chan1 Range[%d,%d] Chan2 Range[%d,%d] %s: ref STM File Range [%d,%d] %s: Starting Channel %d %s: File identifiers do not match, hyp file '%s' and ref file '%s' not synchronized %s: channel identifiers do not match, hyp file '%s' and ref file '%s' not(%s-%03d) DUMP OF WORD TOKENS (OCCURRENCES): (Starting at word %d going to %d) No. of word tokens = %d Id = %s CON- OVER MIS UN- CROS COM- CONV TURN T1 DUR FID LAPD PRON SURE TALK MENT BAD ALT IGN WORD%4s %1s %9.2f %6.2f %6.2f %s %s %s %s %s %s %s %s %s fill_mark_struct ; *ERR: Conversation is empty '%s'. ; *ERR: Conversation side is empty '%s'. ; *ERR: Start time is empty '%s'. ; *ERR: Duration time is empty '%s'. ; *ERR: Word string is empty '%s'. NAoverlappedcommentfree_mark_file; *Err: Error detected in ctm file '%s' ?<,>Error: Bad Label '%s' for utt %s Make sure utterance labels have been properly formatted in the reference file. Error: Label id '%s' lookup failed for utt %s Make sure labels have been defined in the comment lines of the reference file. Error: Label id '%s' of utt '%s' (label def %s) occurs in multiple label category fields. Set Sum/AvgStdDev +StdDev%s.lur Writing LUR scoring report to '%s' caSystem: %s-> #Wrd %WE[%d]* %d *Mean +MeanNote: * Speaker Has no reference word tokens. Number of incorrect words presented + Speakers with no reference words ignoredSet/Subset #Words and System Set/Subset Average Word Error RateAssociated Standard DeviationsSet/Subset Mean #Words/Speaker and Set/Subset Mean Word Error Rate/SpeakerSet/Subset Median #Words/Speaker and Set/Subset Median Word Error Rate/Speakerc|By System Test Subset Scoring SummaryFor the %s Test%s: hyp CTM File Range [%d,%d,%s,%s] ref STM File Range [%d,%d,%s,%s] %s: Hyp files ends before ref but continuing for ref file/channel '%s' '%s'. %s: Error: Hyp file has more data than ref file, beginning at hyp file/channel '%s' '%s'. %s: File identifiers do not match but continuing. ref file/channel '%s' '%s', next hyp '%s' '%s'. ignoreSegment %d Ignored bt= %f et= %f Ignore word %d %s %d of %d Segments (%d skipped segs%d skipped words) For Channel %d. (%d Ignored Segments, %d Ignored Hyp Words.) %d of %d Segments For Channel %s. %s: Aligning segment %d %d: %s chan: %s IGNORE_TIME_SEGMENT_IN_SCORINGIGNORETIMESEGMENTINSCORINGHyp set [%d,%d] Hypothesis net%s: Network_create_from_WTOKE failed REFTIMES: T1: %f T2: %f #tKTime-mediatedWordError: premature EOF in hyp file '%s' at conversation '%s' of ref file '%s' Error: premature EOF in ref file '%s' at conversation '%s' of hyp file '%s' Error: in ref file '%s' and hyp file '%s' file strings out of synchronization around ref-file='%s' hyp-file='%s' Error: in ref file '%s' and hyp file '%s' Hyp is missing second channel of file '%s' ref is missing second channel of file '%s' Performing %s alignments for file '%s'. (%s-%s-%04d)%s-%salign_ctm_to_ctmReference netG.Amfalign net %dperform_mfalignError: Conversation mismatches in %s and %s, %s and %s respectivelyWorking on conversation: %s channel: %s File: %s range %d-%d MFALIGN_COMMON_SIL_DBGFound a gap %d (%.2f-%.2f) = %.2f Gap in %d Segment defined at:*** ctm[0] has ran out of dataMFALIGN_DBGmfalign_ctm_filesBeginning: %s --------- Aligning this chunk ----------- CTM %d: start: %d end_word: %d start: %.2f end: %.2f Warning: %d ties were arbitrarily broken cA Words: Correspondence Set: Max_conf= %f min_conf=%f avg_conf=%f avg_time=%f avg_dur=%f bias_nword= %f Network_WORD_to_CORESCORES net of %sYou did not give calc_pct a formula %%%ds %%%ds |/ %%%ds for the %s Test with other Systems:%s%s%s.stsWarning: Unable to open output file %s, using stdout Summary of Statistical Significance Tests:Comparing the SystemTest NameNote: System ID with lower error rate is printed if the Null Hypothesis is rejected at the 95%% Confidence Level, if not, 'same' is printed. %s.unifiedWarning: Open of %s for write failed. Using stdout instead. Output written to '%s' Composite Report of All Significance Testsc=c|caa|rrlTest//Abbrev.~<0.001These significance tests are all two-tailed tests with the null hypothesisthat there is no performance difference between the two systems. The first column indicates if the test finds a significant difference at the level of p=0.05. It consists of '~' if no difference is found at this significance level. If a difference at this level is found, this column indicates the system with the higher value on the performance statistic utilized by the particular test. The second column specifies the minimum value of p for which the test finds a significant difference at the level of p. The third column indicates if the test finds a significant difference at the level of p=0.001 ("***"), at the level of p=0.01, but not p=0.001 ("**"), or at the level of p=0.05, but not p=0.01 ("*"). A test finds significance at level p if, assuming the null hypothesis, the probability of the test statistic having a value at least as extreme as that actually found, is no more than p. Using the %s Percentage per %sas the Comparison MetricSpeaker Percent Correctly RecognizedSpeaker Word Error Rate (%)Speaker Word Accuracy Rate (%)|alaRANKING TABLE BY PERCENTAGES FOR THE TESTShowing:Mean PctMean RankPercent%5.1fSys rnkSpkr rnkMean pctMean ranks{Gz?.spk.sysSTATSSpeaker IDError: unable to open GNUPLOT data file %s Output written to '%s.*' .mean.medianError: unable to open GNUPLOT file %s set yrange [%d:0] set xrange [0:100] set title "%s" set ylabel "%s" set xlabel "%s" set ytics (%d %f "%s" %dplot "%s" using 2:1 title "Mean %s" with lines,"%s" using 2:1 title "Median %s" with lines,"%s" using 2:1 title "Individual %s" %fplot "%s" using 2:1 title "Mean %s" with lines,\ "%s" using 2:1 title "Median %s" with lines%*s,\ "%s" using 2:1 "%s" title "%s"%%-%1ds%s|-%s| | high | low || std dev | mean | +--------+---------| %5.1f || %5.1f | %5.1f | ---| %s|---PERCENTAGES%s| +-|0 %3d| %s |-> shows the mean %s +-> shows plus or minus one standard deviation RANGE ANALYSIS ACROSS SPEAKERS FOR THE TEST: %s%s by %s%s%s SPKRRANGE ANALYSIS ACROSS RECOGNITION SYSTEMS FOR THE TEST: SYS-C6? %s%35sReject if %s%26sX2_r > X2 of %s %s (%2.3f) %s%26sadjustment = %2.3f %s%30s X2_r = %2.3f %s *** Warning: ties adjustment may have severely %s exagerated the X2_r value %sANALYSIS: %s-------- %s The test statistic X2_r shows, with %s confidence, that at %s least one %s is significantly different. %s Further, the probablity of there being a difference is %s greater that %s. %s between %s to %s. %s The test statistic X2_r shows that at the %s confidence %s interval, the %ss are not significantly %s different. %s less than %s. recognition systemUsing a Multiple Comparison Test%s%s | %%-%ds %s|%s+%s.anovarFriedman Two-way Analysis of Variance by Ranks%s---------------------------------------------- %s Ho: Testing the hypothesis that all recognizers are the sameCOMPARISON MATRIX: Comparing All Systems%s Ho: Testing the hypothesis that all speakers are the sameCOMPARISON MATRIX: Comparing All Speakers(@@@The NULL Hypothesis: The number of speakers for which the differences is positive equals the number of speakers for which the differences is negative. P(N(+)) = P(N(-)) = 0.50 The number of speakers for which the differences is positive is NOT equal to the number of speakers for which the difference is negative. A1: The distibution of positive and negative differences follows the binomial distribution for N fair coin tosses. A2: In order to resolve the complication caused by cases where the difference in Word Accuracy is zero, half of the cases will be assigned to N(+) and half to N(-). In the event of an odd number of zero differences, N(-) will get one extra, this reduces the probability of there being a difference between the two systems. Rejection criterion: Reject the null hypothesis at the 95%% confidence level based on the following critical values table. N is the number of speakers being compared and N(-) is the number of negative differences. MIN(N(-),N(+)) P(MIN(N(-),N(+)) | N=%2d) -------------- ------------------------ %3d %5.3f %3d <0.001 <--- Null Hypothesis rejected at or below this point There were N(-)=%d negative differences , the probability of it occuring is %5.3f, therefore the null hypothesis is REJECTED in favor of the Alternate Hypothesis. Further, %s is the better System. is ACCEPTED There is no statistical difference between %s and %s (Threshold for equal percentages +- %5.3f)%6.2f[%s - %s]Sign Test Calculations Table ComparingDifference SignAvg.No. Speakers with Positive %s Differences = N(+) = %2dNo. Speakers with Negative %s Differences = N(-) = %2dNo. Speakers with No %s Differences = N(0) = %2d%s.signComparison Matrix for the Sign Test{Gzt?Wilcoxon Test Calculations TableComparing %s %s Percentages for Systems %s and %s Signed Difference Rank Rank %6.2f %5.1f %5.1f Sum of %2d positive ranks = %4.1fSum of %2d negative ranks = %4.1f The Null Hypothesis: The two populations represented by the respective matched pairs are identical. Alternate Hypothesis: The two populations are not equal and therfore there is a difference between systems. Decision Analysis: Assumptions: The distribution of signed ranks is approximated by the normal distribution if the number of Blocks is greater than equal to 8. Rejection Threshold: Based on a %2.0f%% confidence interval, the Z-score should be greater than %4.2f or less than -%4.2f. Decision: The Z statistic = %4.2f, therefore the Hypothesis is REJECTED in favor of the Null Hypothesis. Further, %s is the better System. is ACCEPTED. %s.wilcComparison Matrix for the Wilcoxon Testffffff?MbP8@? McNemar test results ==================== %s corr incorr %15s corr %3d %3d incorr %3d %3d SUMMARY: ------- The two totals for utterances missed by either test results are both zero, therfore there is no significant difference between the two tests! The number unique utterance errors are equal for both systems. The number of unique utterance errors for both systems are NOT equal. A1: The distibution of unique utterance errors on the following critical values table. N is the sum of the unique utterance errors for both systems being compared and MIN(uue) is the minimum number of unique utterance foe either system. MIN(uue) P(MIN(uue) | N=%3d) -------- ------------------- %3d %5.3f %3d - <--- Null Hypothesis rejection threshold There were MIN(uue)=%d unique utterance errors, the probability of Warning: Speaker's '%s' path '%s' in system '%s' is not in system '%s' Warning: Speaker %s is in system %s but not system %s %s.mcnCOMPARISON MATRIX: McNEMAR'S TEST ON CORRECT SENTENCES FOR THE TEST:Conf=(%.3f) SEGMENTATION REPORT FOR SYSTEMS %4s and %4s Minimum Number of Correct Boundary words %1d Number of Segments %2d, %5.3f per sentence Number of Sentences %2d # Ref wrds Err %4s Err %4s Totals %4d %4d %4d Pct err %5.1f%% %5.1f%% Warning: MPESM test identified a correct/correct segment- %d %s Analysis of matched pairs comparison %s Comparing %s and %s %s H : means of sentence segment errors are equal. %s 0 Count Segment: segment# %3d: sys1=[beg=%d,end=%d,ref=%d,err=%d] sys2=[beg=%d,end=%d,ref=%d,err=%d] Warning: MAPSSWE segmentation produced a segment with errors ignoring segment ***** Reference Counts Not EqualSegment# %3d: #ref %1d (%d+%d)/2 Segment# %3d: #ref %1d #Err. %2d NoYesMTCH_PR_RESULTS (systems: %s %s) (# segs: %d) (Seg per Sent: %5.3f) (%% Error: %5.2f %5.2f) (mean: %5.3f) (std dev: %5.3f) (Z Stat: %5.3f) (Stat Diff: %s) Average Number of Segments Per Sentence Report forChanging Numbers of Buffer Words--------------------------------%s-------------------------------- %s| Num Buf | Ave Seg/Sent | %s|-------------+----------------| %s| %2d | %5.3f | Number of Segments Per Sentence Report for Changing %s|-------------%13s%s| | %4s |+-------------%s| %4s 0 | %5.3f |%s| %2d |%11sDoing segmentation analysis. This is slow so . . . calculating buffer of %d Minimum Number of Correct Boundary words%s%s %1d %s|%s%s|%s|+%s%s%s%s|%s.mapssweWarning: Minimum seperation by correct words is too low, setting to %d PECENTAGES ARE MEAN PCT ERROR/SEGMENT. FIRST # IS LEFT SYSTEMCOMPARISON MATRIX: FOR THE MATCHED PAIRS TESTMalloc failed, size %d Error: TEXT_separate_chars(/%s/, //, %d) =? void, arg1 is /%s/ but should be /%s/ TEXT_delete_charsError: unknown function %s Error: %s(/%s/, /%s/) =? void, arg1 is /%s/ but should be /%s/ TEXT_strspnTEXT_strcspnError: %s(/%s/, /%s/) = /%lu/ but should be /%lu/ TEXT_strdupTEXT_skip_wspaceError: %s(/%s/) = /%s/ but should be /%s/ TEXT_addTEXT_strcatTEXT_strcpyTEXT_strqtokTEXT_strtokTEXT_strstrtokenize_TEXT_first_altError: %s(/%s/, /%s/) = /%s/ but should be /%s/ TEXT_strBdupTEXT_strBdup_noEscapeTEXT_str_to_masterError: %s(/%s/, /%d/) = /%s/ but should be /%s/ TEXT_UTFCodePointToTEXTError: %s(/%d/) = /%s/ but should be /%s/ TEXT_strcpy_escapedError: %s(/%s/, /%s/, /%c/) = /%s/ but should be /%s/ TEXT_strBcpyError: %s(/%s/, /%s/, /%d/) = /%s/ but should be /%s/ TEXT_nbytes_of_charTEXT_strlenTEXT_chrlenTEXT_is_emptyTEXT_getUTFCodePointError: %s(/%s/) = /%d/ but should be /%d/ TEXT_strcasecmpTEXT_strcmpError: %s(/%s/, /%s/) = /%d/ but should be /%d/ TEXT_strCcasecmpTEXT_strCcmpError: %s(/%s/, /%s/, %d) = /%d/ but should be /%d/ Error: %s(/%s/, //, %d) = /%d/ but should be /%d/ Error: %s(/%s/, //, %d), Arg2 = /%s/ but should be /%s/ TEXT_str_case_change_with_mem_expandError: %s(/?/, /%d/, %d), arg1 expected to be /%s/ but was /%s/ end_of_TEXTError: %s(/%c/) = /%d/ but should be /%d/ in_TEXT_LISTError: %s("%s", /%s/) = /%d/ but should be /%d/ Making network for /%s/ TestNet Initial Text Its: %s Error: testNetExpandChar cali=%d failed initial network creation %s != /%s/ Expanded Text Its: %s Error: testNetExpandChar cali=%d failed separation of %s. expected /%s/ got /%s/ testdata/tests.lextestdata/mand.lexTesting ASCII dataError: Unable to set ASCII encodingTesting Extended ASCII dataError: Unable to set EXTASCII encodingTesting 2-byte UTF-8 dataError: Unable to set UTF-8 encodingTesting 3-byte UTF-8 dataTesting 4-byte UTF-8 dataTesting 2-byte GB dataError: Unable to set GB encodingTesting ASCII as UTF-8 data X = /%s/ Y = /%s/ A = /%s/ EMP = /%s/ XbAbY = /%s/ oXhoboAoboYo = /%s/ eqXbYeq = /%s/ X1bX2bX3 = /%s/ Y1bY2 = /%s/ A1bA2 = /%s/ {{/} "Testing UTF Code point computation and reversalTesting Case Conversion for Babel TurkishUC /%s/, LC /%s/ Total Tests: %d Errors: %d ; $$L4mT ^dvx3o,@<4T#p;Sk~D,:GBR$\p  4H`MR~$Pf|*/7[P,H\HV d xuH{0DXl& <A + 4 ` + naLoP[M X!"$$4)u*4,+&+=+R ,1`,Jt,s,,,,,.-Q-0-H-\-p-]-- .-l.0.././(/t/`//X0T0N00;,1t1(12_T22w22 3| 3 |3 3m3D4X4l4 45L5 5 5&616,363(76t777t9 8*fbD>c>Ad>d>"f?fP?igx?2i?k8@p@q@rLAtAtANxBx4B{B{B}C~DZ{>pZ~>Z>Zj?Zo?ZB<[LCh[IF[L\PL\W\[]ch]g] h]-h]m,^_ux^~^_JL__O$`đx``adLaabܮxbb8ccccTdd?e8eQLee@fffDgWghhh0hiPiliii$jhjj@j8kdkkFkQHllgll+mdm8mt8 n8$nzRx X+zRx $FJ w?;*3$"D\p--,'<O<$w<D8BBD B(D0A8G@8A0A(B BBB8DBB A(D0z(A BBB4pBBD A(P0(A ABB4BBD A(P0(A ABB, GLAPhFPAFPAFPA$AAI AA(BBD A(M^F\IUE_(A ABBXɣlΣ)X,' FAA FP EABI#-D(] Lf@P7Ts4hfBBH A([0D(I ABBDpBBE B(A0A8PPH8A0A(B BBB,զUAE ABAH zBBB B(A0A8DPr8A0A(B BBBd D| BBB B(A0A8DP{8D0A(B BBB hAf$ ?AAI |AA!MD HH !֪BBE B(A0A8G`8A0A(B BBB$l!HAAJ yAA$!FAAJ wAA@!ڭBBD A(G0k8H@X8A0C(I ABBH"HZBBB B(D0A8JP,8I0A(B BBBDL"VEBF B(A0A8SPm8A0A(B BBBD"wEBB B(D0A8M@O8A0A(B BBBD"ٰvEBB B(D0A8M@N8A0A(B BBBD$#vEBB B(D0A8M@N8A0A(B BBBDl#5wEBB B(D0A8M@O8A0A(B BBBH#dBBE B(A0A8D8C0A(B BBBH$] BBB B(D0A8G> 8A0A(B BBBLL$i BBD B(D0A8P? 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%)$0)K)sctkUnit.ccrtstuff.cderegister_tm_clones__do_global_dtors_auxcompleted.7697__do_global_dtors_aux_fini_array_entryframe_dummy__frame_dummy_init_array_entryorder.cshort_cmp_arrint_cmp_arrdouble_cmp_arrrsprintf.cpath.cPATH_sequence_numbertext.cSTATIC_ENCODINGSTATIC_LPROFbasep.6692ext.6693val.6714KCC_babel_turkishKCC_babel_vietnameseKCC_babel_lithuanianKCC_babel_kurmanjiKCC_babel_cebuanoKCC_babel_kazakhKCC_babel_mongolianKCC_babel_guaraniSTATIC_CASECONVTEXT_SIZESTATIC_CASECONVTEXTalt_cnt.6897in_alt.6896firstalt.6895data.6923data_len.6922token.6924ptr.6926tptr.6925ptr2.6927scores.cword.crpg.cwas_initializedrpgstrstatic_parse_dbgstatic_rpt_dbgPAGE_WIDTHCENTER_PAGEbuf.6749iter_num_valiter_max_valivaliter_fmtlen.7106buf.7107p.7108statdist.cznormFnormpad.cpad_print_out_widthdesc.6490ptr.6491sgml.creadpipe.calex.cindex_searchsc_dtl.clocate_confusion_pairs.isra.0locate_insertions.isra.1locate_deletions.isra.2locate_substitutions.isra.3locate_misrecognized.isra.4det.cppndfbinned_confidences.constprop.0wwscr_f.ccompare_WWdo_weighted_scoreget_weight_from_WWenv_checked.6703dbg.6704corresp.cadd_header_data.isra.1flush_text.isra.2slm_intf.caddarc1.cdelarc1.cllist.cmarc1.carcseq1.cmnode1.cboolpr1.ckillarc1.cnet_adt.cset_node_flag1_to_inarc_countset_node_flag1_to_outarc_countreset_net_pointeradd_to_node_listnum_nodemax_nodeinsert_node_in_node_mapchange_node_namenum_trav.6523traversal_id_set.6522expand_alternatesalt.6844nt_copy_arcout_netknode2.cnet_dp.cadd_null_network_headscalculate_margin_cells.isra.2calculate_internal_cells.isra.3setup_NET_ALIGN.constprop.7net_alistm.cfree_STM_SEG.part.0len.6496stm_err.6588stm_eof.6587align.cchars.6756chars_len.6758alt.6761charsEsc.6757tl.6623max_word_len.6624tl.6648max_word_len.6649s1.6861s3.6863s2.6862diff_out_len.6990dwtoke2.cfillmrks.cin_buf_len.6478wtokeini.clur.calloc_LABEL_SCOREScompute_label_scoresfree_LABEL_SCORES.isra.0stm2ctm.cctm2ctm.cmfa.crank.crange.cprint_gnu_range_graphprint_gnu_range_graph2print_range_graph.isra.0anovar.cprint_result_of_analyze_rank_sumprint_ANOVAR_comp_matrixcalc_stat_rankssigntest.cwilcoxon.csentmcn.cmtchprs.c__FRAME_END____init_array_end_DYNAMIC__init_array_start__GNU_EH_FRAME_HDR_GLOBAL_OFFSET_TABLE_TEXT_strchrDesc_dump_ascii_report__libc_csu_fini__ctype_toupper_loc@@GLIBC_2.3set_pad__strcat_chk@@GLIBC_2.3.4getenv@@GLIBC_2.2.5Network_add_arc_to_headevaluate_SEGSCORES_get_grptest_int_Fof_TPtr_TPtrNetwork_initcalc_minimum_insertseq_multstrncpy_padprint_n_winner_comp_reportTEXT_strstr__statfree@@GLIBC_2.2.5set_pad_nsign_test_analysisfree_RANKfind_null_arcsputchar@@GLIBC_2.2.5convert_stm_to_word_listfree_refsdump_NET_ALIGNrank_int_arrstrcasecmp@@GLIBC_2.2.5print_spacessegment_hyp_for_uttdump_SC_CORRESPONDENCEdump_X2_tablefree_WWLPATH_print_wtabort@@GLIBC_2.2.5print_composite_significance2opt_del_CORESfree_mark_fileunlink@@GLIBC_2.2.5append_WORDstrncpy@@GLIBC_2.2.5Network_merge_networkstrncmp@@GLIBC_2.2.5readpipe_ITM_deregisterTMCloneTablestdout@@GLIBC_2.2.5dump_full_RANK_structDesc_flush_iterated_rowqsort_int_compareget_WORDdo_mtch_pairs_on_sysdo_mtch_pairsdecode_opt_delstrcpy@@GLIBC_2.2.5print_start_linecopy_WORD_via_use_countdelete_SGML_tagTEXT_UTFCodePointToTEXTfind_arcset_idcalc_mean_var_std_dev_Zstat_doubletest_void_Fof_TPtrprint_N_system_executive_summarydo_mtch_pairs_seg_analysisalign_ctm_to_ctmsetup_iterationsappend_WORD_no_NULLprint_Z_analysiscalc_minimum_substimake_binned_confidenceSCORES_initinit_SGMLqsort@@GLIBC_2.2.5init_pad_utilformula_strprint_blank_lineWeight_wwlalign_ctm_to_stm_diffis_last_span_colalloc_SC_CORRESPONDENCEatof@@GLIBC_2.2.5compute_acc_binomialcopy_CORESfill_STMfree_TEXT_LISTrsprintfsort_strings_using_indexkill_arcTEXT_strlenalways_trueinfer_word_seg_algo2LL_initqsort_int_cmptestNetExpandCharLL_get_firstPATH_add_utt_idgetpid@@GLIBC_2.2.5set_temp_filesDesc_set_report_verbosestatic_message_bufferexpand_line_sepsTEXT_nth_fieldextract_NET_ALIGN_resultnew_WORDDesc_set_iterated_format_edataprint_CORESadd_SGML_tagscore_dtl_spkrtest_void_Fof_TPtrPtr_IntPtr_intPATH_appendprint_lineset_word_startfclose@@GLIBC_2.2.5print_trt_comp_matrix_for_RANK_one_winnertest_TPtr_Fof_TPtr_intfree_STM_SEGX2ctime@@GLIBC_2.2.5TEXT_strBcmpNetwork_init_from_netget_next_string_valuecalc_two_sample_z_test_doubletest_void_Fof_TPtr_TPtrDesc_rm_lfdump_STM__stack_chk_fail@@GLIBC_2.4Z2tailWORD_in_TEXT_LISTtest_TPtr_Fof_TPtr_TPtr_intdump_word_tokens2NETWORK_insert_arc_between_nodeLL_copycompute_anovarPATH_allocPATH_multi_printNetwork_destroyuse_count_WORDstrchr@@GLIBC_2.2.5LL_put_frontfind_common_silencePATH_add_fileprint_N_lurrank_on_pctsNetwork_add_net_to_headfind_next_TEXT_alternationend_of_TEXTnull_alt_WORDtest_TPtr_Fof_TPtrTEXT_is_emptypopulate_tag1chop_WTOKE_2test_int_Fof_TPtrPtr_TPtr_intstrrchr@@GLIBC_2.2.5SCORES_freenew_WORD_parseTextTEXT_set_compare_normalizationfputs@@GLIBC_2.2.5convert_text_to_word_listqsort_double_cmpPATH_increment_WORD_useLL_put_tailmake_scaled_binned_confidencefree_ARCSETinitialize_REPORT_DEF_STRUCTAUTO_LEX_get_cTEXT_strBdup_noEscapePATH_removeprint_n_winner_comp_matrixrecurTEXT_str_case_change_with_mem_expand_from_array2glob_tiesformula_indexmake_nodeseg_countpow@@GLIBC_2.2.5pad_pr_widthDesc_set_justificationlog@@GLIBC_2.2.5qsort_short_deccmpcalc_minimum_deleteset_WORD_tag1TEXT_strCcpydel_from_arc_listreset_WTOKE_flagTEXT_ensure_fgetsalign_ctm_to_stm_dpset_pad_cent_nTEXT_strcasecmpcount_segcalc_mean_var_std_dev_Zstatadd_to_arcsetqsort_TEXT_strcmpNETWORK_insert_arc_before_nodebsearch_TEXT_strcmpfputc@@GLIBC_2.2.5db_levelstrcspn@@GLIBC_2.2.5n_CHOOSE_rnull_alt_CORESTEXT_strcatmfalign_ctm_filesparse_stm_line__libc_start_main@@GLIBC_2.2.5TEXT_str_to_masterfgets@@GLIBC_2.2.5print_2_WORD_wtalign_text_to_stmload_SCORES_sgmlmake_confidence_histogram__data_startprint_lurcreate_word_listsstrcmp@@GLIBC_2.2.5print_WORD_wtgetchar@@GLIBC_2.2.5num_span_colcheck_space_in_PATHprint_gnu_rank_rangesanalyze_Z_scorePATH_freeTEXT_freebool_printalloc_ARCSETdo_McNemar_by_sentmake_empty_CORESWeight_onefeof@@GLIBC_2.2.5make_SCORES_DET_curve__gmon_start__extract_speakerTEXT_str_case_change_with_mem_expandTEXT_nbytes_of_charget_SGML_attribDesc_add_row_valuesdump_WTOKE_wordsTEXT_skip_wspace__dso_handleTEXT_strCcasecmpqsort_int_deccmpfind_matched_grprecursive_connectadd_PATH_scoreNetwork_create_from_WTOKEPATH_print_htmllocate_boundaryparse_input_comment_line_IO_stdin_usedtest_TPtr_Fof_TPtr_TPtrfree_STMlookup_lm_word_weightset_word_opt_delset_word_confarcs_equalmake_empty_WORDTEXT_strspnalloc_STMpdbcleanup_NET_ALIGNscore_dtl_sentDesc_set_page_centerqsort_double_compareDesc_add_row_separationrelease_CORESexpand_words_to_charstest_TPtr_Fof_TPtr_TPtr_Tprint_N_SCORE__xstat@@GLIBC_2.2.5TEXT_strcpyoverlapNetwork_delete_arcNetwork_WORD_to_COREStest_comp_sentsPATH_n_printTEXT_strcspnprint_nodealloc_NET_ALIGNget_CORESequal_WORD2find_PATHLABEL_idcompute_wilcoxon_for_treatment__libc_csu_initTEXT_is_comment_infoPATH_add_channelwwd_time_WORDtest_TPtr_Fof_intload_WWLnetwork_dp_align_textsmalloc@@GLIBC_2.2.5fflush@@GLIBC_2.2.5TEXT_set_encodingTEXT_chrlenload_comment_labels_from_fileTEXT_strdupTEXT_strBcpyperform_wilcoxon__isoc99_sscanf@@GLIBC_2.7is_last_just_colZ1tailDesc_dump_reportprocess_diff_linerelease_WORDnextColonmake_arcNetwork_sgml_dumpadd_to_arc_listread_stm_lineprint_double_lineexpand_columnsdump_TEXT_LISTMcNemar_sentcopy_WORDdump_SCORES_alignmentsdump_paths_of_SC_CORRESPONDENCEqsort_short_cmpformatWordForSGMLTEXT_atoffill_STM_structureprint_N_system_summarytokenize_TEXT_first_altinfer_word_seg_algo1TEXT_is_commenttest_separate_charsNetwork_create_from_TEXT__strncpy_chk@@GLIBC_2.3.4remove_idAUTO_LEX_freescore_dtl_overallnormprobsgml_dump_WORD__strcpy_chk@@GLIBC_2.3.4PATH_add_labelprint_arc_textTEXT_strtokgetKnownUFTCaseCP__bss_startopt_del_WORDunitTestTEXTNetwork_copyTEXT_separate_charsgap_at_timesmainTEXT_getUTFCodePointexpand_REPORT_DEF_STRUCT__printf_chk@@GLIBC_2.3.4fill_WTOKE_structureload_TEXT_LISTTEXT_lang_profileNetwork_add_arc_to_tailtest_int_Fof_TEXTchar_in_setprint_sent_seg_averaged_analysistest_int_Fof_TPtrTEXT_strCcmpAUTO_LEX_initTEXT_strBdupTEXT_strrchrprint_arcprint_WORDdo_McNemarmalloc_dieddump_WWLsort_double_arrAUTO_LEX_getAUTO_LEX_insertTEXT_delete_charslocate_STM_boundarydump_SCORES_sgmlextract_best_NET_ALIGN_resultexpand_STMdump_SCORESTEXT_strcmp_masterfopen@@GLIBC_2.2.5sort_PATH_time_marksNETWORK_insert_arc_after_nodeinit_RANK_struct_from_SCORESprint_gnu_rank_ranges2find_minimal_pathsAUTO_LEX_printoutdecode_fragmenttest_int_Fof_TEXTLIST_TPtrkill_node2Network_fully_connect_condNetwork_delete_null_arcsAUTO_LEX_findNetwork_dpalignuse_count_COREScreate_alinged_NETWORKgetTextZ_passalign_trans_mode_dpfind_matched_pathsdump_SGML_tagatoi@@GLIBC_2.2.5dump_STM_wordsstrcat@@GLIBC_2.2.5hyp_confidences_availablePATH_n_print_htmlinit_TEXT_LISTrank_double_arrDesc_eraseequal_CORESfind_next_TEXT_tokensort_int_arrexpand_rowsLL_emptyTEXT_is_wfragexit@@GLIBC_2.2.5TEXT_fgetstest_int_Fof_TPtr_TPtr_intperform_signtest__TMC_END____fprintf_chk@@GLIBC_2.3.4Network_fully_connectprint_system_summarybsearch@@GLIBC_2.2.5print_final_line_ITM_registerTMCloneTableTEXT_strcpy_escapedprint_compare_matrix_for_sysTEXT_addAUTO_LEX_dumpwwd_WORDNetwork_add_net_to_tailNetwork_dpalign_n_networksWTOKE_STR1_initTEXT_set_lang_profwwd_weight_WORDsqrt@@GLIBC_2.2.5perform_word_weighted_scoringlookup_word_weightget_dateperform_mfalignDesc_set_iterated_valuewwd_WORD_roverprint_rank_rangescompute_signtest_for_treatmentTEXT_get_encodingset_word_durationmfdbPATH_printalign_trans_mode_diffPATH_set_sequencelocate_WTOKE_boundary__cxa_finalize@@GLIBC_2.2.5dump_flag2Desc_set_parse_verbosefill_mark_structlocate_matched_dataload_refs__vsprintf_chk@@GLIBC_2.3.4sort_strings_in_placeadd_TEXT_LISTqsort_double_deccmptest_sizet_Fof_TPtr_TPtr__ctype_tolower_loc@@GLIBC_2.3sort_short_arrprint_sent_seg_long_analysis__ctype_b_loc@@GLIBC_2.3compute_SCORE_nceprint_composite_significanceTEXT_strqtokNetwork_traverse_msz_stderr@@GLIBC_2.2.5__sprintf_chk@@GLIBC_2.3.4locate_next_file_channel.symtab.strtab.shstrtab.interp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