PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

13.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 814 words searched).

  1. Junkun kore notta ? %mov:"20113"_717420_718609 FAT · japanese_ishii/20113.cha, line 505 · Jun 2;01
  2. ofune notta ? %mov:"20113"_719963_720991 FAT · japanese_ishii/20113.cha, line 508 · Jun 2;01
  3. dooshite notta no ? %mov:"20113"_720991_721847 FAT · japanese_ishii/20113.cha, line 509 · Jun 2;01
  4. konna [//] densha notta ? %mov:"20113"_729904_731145 FAT · japanese_ishii/20113.cha, line 519 · Jun 2;01
  5. densha notta ? %mov:"20113"_732551_734118 FAT · japanese_ishii/20113.cha, line 521 · Jun 2;01
  6. fune notta nee ? %mov:"20113"_737868_738941 FAT · japanese_ishii/20113.cha, line 526 · Jun 2;01
  7. fune notta no . %mov:"20113"_777647_778465 FAT · japanese_ishii/20113.cha, line 556 · Jun 2;01
  8. poposhusshu@o notta no . %mov:"20113"_780224_781317 FAT · japanese_ishii/20113.cha, line 559 · Jun 2;01
  9. popposhusshu@o notta no . %mov:"20113"_797741_798937 FAT · japanese_ishii/20113.cha, line 569 · Jun 2;01
  10. fune notta n,, koo shite . %mov:"20113"_904667_906042 FAT · japanese_ishii/20113.cha, line 652 · Jun 2;01
  11. koo shite notta n ,, fune . %mov:"20113"_906042_908803 FAT · japanese_ishii/20113.cha, line 653 · Jun 2;01
  1. CHIuwa ! %mov:"20113"_714775_716637
    FATuwa ! %mov:"20113"_716637_717420
    FAT*FAT: Junkun kore notta ? %mov:"20113"_717420_718609
    CHIn ? %mov:"20113"_718609_719963
    FATofune notta ? %mov:"20113"_719963_720991
  2. FATJunkun kore notta ? %mov:"20113"_717420_718609
    CHIn ? %mov:"20113"_718609_719963
    FAT*FAT: ofune notta ? %mov:"20113"_719963_720991
    FATdooshite notta no ? %mov:"20113"_720991_721847
    CHIkoobobo . %mov:"20113"_721847_723479
  3. CHIn ? %mov:"20113"_718609_719963
    FATofune notta ? %mov:"20113"_719963_720991
    FAT*FAT: dooshite notta no ? %mov:"20113"_720991_721847
    CHIkoobobo . %mov:"20113"_721847_723479
    FATsoo shita yaro ? %mov:"20113"_723479_724343
  4. FATkirinsan ya nee . %mov:"20113"_727963_729209
    CHIkoe a ? %mov:"20113"_729209_729904
    FAT*FAT: konna [//] densha notta ? %mov:"20113"_729904_731145
    CHIn ? %mov:"20113"_731145_732551
    FATdensha notta ? %mov:"20113"_732551_734118
  5. FATkonna [//] densha notta ? %mov:"20113"_729904_731145
    CHIn ? %mov:"20113"_731145_732551
    FAT*FAT: densha notta ? %mov:"20113"_732551_734118
    CHIkonna . %mov:"20113"_734118_735261
    FATun . %mov:"20113"_735261_735892
  6. CHIunedawayaa [>] . %mov:"20113"_735892_737868
    FATfune [<] . %mov:"20113"_735892_737868
    FAT*FAT: fune notta nee ? %mov:"20113"_737868_738941
    CHIkoe wa ? %mov:"20113"_738941_739617
    FATkore nani ? %mov:"20113"_739617_740339
  7. FATe ? %mov:"20113"_776411_776765
    CHIune . %mov:"20113"_776765_777647
    FAT*FAT: fune notta no . %mov:"20113"_777647_778465
    CHIboboshusshu . %mov:"20113"_778465_780224
    FATpoposhusshu@o notta no . %mov:"20113"_780224_781317
  8. FATfune notta no . %mov:"20113"_777647_778465
    CHIboboshusshu . %mov:"20113"_778465_780224
    FAT*FAT: poposhusshu@o notta no . %mov:"20113"_780224_781317
    CHIgangangan te uuta . %mov:"20113"_781317_783770
    FATyuuta no . %mov:"20113"_783770_784457
  9. CHIun ? %mov:"20113"_794948_796351
    FATyokatta nee . %mov:"20113"_796351_797741
    FAT*FAT: popposhusshu@o notta no . %mov:"20113"_797741_798937
    CHIpoposhushu . %mov:"20113"_798937_801895
    FATkore nan daro . %mov:"20113"_801895_802863
  10. CHIn [>] ? %mov:"20113"_903788_904667
    FATfune [<] . %mov:"20113"_903788_904667
    FAT*FAT: fune notta n,, koo shite . %mov:"20113"_904667_906042
    FATkoo shite notta n ,, fune . %mov:"20113"_906042_908803
    CHIae xxx . %mov:"20113"_908803_910018
  11. FATfune [<] . %mov:"20113"_903788_904667
    FATfune notta n,, koo shite . %mov:"20113"_904667_906042
    FAT*FAT: koo shite notta n ,, fune . %mov:"20113"_906042_908803
    CHIae xxx . %mov:"20113"_908803_910018
    FATun . %mov:"20113"_910018_910515

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_ishii13.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20113.chaJun 2;1.13814111113.51

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. notta11 · 100.0%