PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

17.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 619 words searched).

  1. sore nani ? %mov:"10829"_0_4092 FAT · japanese_ishii/10829.cha, line 11 · Jun 1;08
  2. sore nani [>] ? %mov:"10829"_11492_12345 FAT · japanese_ishii/10829.cha, line 20 · Jun 1;08
  3. na [//] naka (ni) nani ga haitten [: haitteiru] no ? %mov:"10829"_17555_17555 FAT · japanese_ishii/10829.cha, line 30 · Jun 1;08
  4. nani (ga) haitteru ? %mov:"10829"_19190_22993 FAT · japanese_ishii/10829.cha, line 31 · Jun 1;08
  5. nan [: nani] da,, sore . %mov:"10829"_44598_45224 FAT · japanese_ishii/10829.cha, line 45 · Jun 1;08
  6. nan [: nani] ya [: da],, sore wa . %mov:"10829"_125371_126772 FAT · japanese_ishii/10829.cha, line 88 · Jun 1;08
  7. nani,, sore ? %mov:"10829"_133784_135763 FAT · japanese_ishii/10829.cha, line 92 · Jun 1;08
  8. nani (o) shitan [: shitano] ya naa . %mov:"10829"_502300_503812 FAT · japanese_ishii/10829.cha, line 325 · Jun 1;08
  9. nani yoo . %mov:"10829"_581840_583005 FAT · japanese_ishii/10829.cha, line 379 · Jun 1;08
  10. nani,, sore . %mov:"10829"_653224_654081 FAT · japanese_ishii/10829.cha, line 420 · Jun 1;08
  11. nani [<] ? %mov:"10829"_665849_669351 FAT · japanese_ishii/10829.cha, line 432 · Jun 1;08
  1. FAT*FAT: sore nani ? %mov:"10829"_0_4092
    CHIpan . %mov:"10829"_4092_5374
    FATpan . %mov:"10829"_5374_6627
  2. FATpan ka . %mov:"10829"_6627_7882
    CHIxxx ? %mov:"10829"_7882_11492
    FAT*FAT: sore nani [>] ? %mov:"10829"_11492_12345
    CHItoto [<] . %mov:"10829"_11492_12345
    CHItoto [= fish] . %mov:"10829"_12345_13318
  3. FATa, honto . %mov:"10829"_15445_16600
    FATtoto ya [: da] na . %mov:"10829"_16600_17555
    FAT*FAT: na [//] naka (ni) nani ga haitten [: haitteiru] no ? %mov:"10829"_17555_17555
    FATnani (ga) haitteru ? %mov:"10829"_19190_22993
    FATokane haitteru ka ? %mov:"10829"_22993_27857
  4. FATtoto ya [: da] na . %mov:"10829"_16600_17555
    FATna [//] naka (ni) nani ga haitten [: haitteiru] no ? %mov:"10829"_17555_17555
    FAT*FAT: nani (ga) haitteru ? %mov:"10829"_19190_22993
    FATokane haitteru ka ? %mov:"10829"_22993_27857
    FATnai ? %mov:"10829"_27857_27857
  5. FATe ? %mov:"10829"_41750_43723
    FATachii . %mov:"10829"_43723_44598
    FAT*FAT: nan [: nani] da,, sore . %mov:"10829"_44598_45224
    FATatsui wa . %mov:"10829"_45224_47140
    FATatsunai [: atsukunai] ? %mov:"10829"_47140_55297
  6. FATotete koko ya [: da] . %mov:"10829"_119789_122296
    CHIxxx . %mov:"10829"_122296_125371
    FAT*FAT: nan [: nani] ya [: da],, sore wa . %mov:"10829"_125371_126772
    CHIuwaa ! %mov:"10829"_126772_129173
    CHIwaa # ko . %mov:"10829"_129173_133784
  7. CHIuwaa ! %mov:"10829"_126772_129173
    CHIwaa # ko . %mov:"10829"_129173_133784
    FAT*FAT: nani,, sore ? %mov:"10829"_133784_135763
    CHIwanwan [>] . %mov:"10829"_135763_136578
    FATwanwan@o [<] . %mov:"10829"_135763_136578
  8. CHIaa aa <xxx> [>] . %mov:"10829"_499398_502300
    FATaa aa [<] . %mov:"10829"_499398_502300
    FAT*FAT: nani (o) shitan [: shitano] ya naa . %mov:"10829"_502300_503812
    CHIaa . %mov:"10829"_503812_506299
    FATdoo sun [: suru] no ? %mov:"10829"_506299_507313
  9. FATxxx ! %mov:"10829"_576909_578153
    CHInanioo . %mov:"10829"_578153_581840
    FAT*FAT: nani yoo . %mov:"10829"_581840_583005
    FATzoosan nennee . %mov:"10829"_583005_585787
    CHIube ! %mov:"10829"_585787_588815
  10. CHItasshaai [>] . %mov:"10829"_650345_653224
    FATitterasshaai [<] . %mov:"10829"_650345_653224
    FAT*FAT: nani,, sore . %mov:"10829"_653224_654081
    FATgakko ka ? %mov:"10829"_654081_655049
    CHIgooku . %mov:"10829"_654081_656869
  11. FATe ? %mov:"10829"_665371_665371
    CHI<waa> [>] waawaa . %mov:"10829"_665849_669351
    FAT*FAT: nani [<] ? %mov:"10829"_665849_669351
    FATjoozu ya naa . %mov:"10829"_669351_670970
    CHIwaajii . %mov:"10829"_670970_672431

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii17.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10829.chaJun 1;8.29619111117.77

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. nani11 · 100.0%