PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (854 utterances, 2,115 words searched).

  1. un, jumban ni ofune no naka hain ne . %mov:"21109"_443233_445126 FAT · japanese_ishii/21109.cha, line 270 · Jun 2;11
  2. ouchi no naka de booru hottara dame yo . %mov:"21109"_1225867_1227447 FAT · japanese_ishii/21109.cha, line 679 · Jun 2;11
  3. naka ga na # nurete [//] nurechatten ne . %mov:"21109"_1583005_1585616 FAT · japanese_ishii/21109.cha, line 850 · Jun 2;11
  4. uramukete ne naka kawakasu ne . %mov:"21109"_1622820_1626299 FAT · japanese_ishii/21109.cha, line 862 · Jun 2;11
  5. a, son [= sono] naka hain no . %mov:"21109"_1691664_1711751 FAT · japanese_ishii/21109.cha, line 894 · Jun 2;11
  6. naka nureteru kara ne . %mov:"21109"_2028095_2029452 FAT · japanese_ishii/21109.cha, line 1033 · Jun 2;11
  7. nureteru yaro,, naka ? %mov:"21109"_2052029_2053165 FAT · japanese_ishii/21109.cha, line 1049 · Jun 2;11
  1. FATun . %mov:"21109"_440807_441037
    CHIjidoosha # kondo wa jidoosha ga hain [: hairu] no ? %mov:"21109"_441037_443233
    FAT*FAT: un, jumban ni ofune no naka hain ne . %mov:"21109"_443233_445126
    FATne ? %mov:"21109"_445126_445579
    CHIsoo . %mov:"21109"_445579_446176
  2. CHIbooru . %mov:"21109"_1206988_1223342
    FATsonnan hottara akan yo . %mov:"21109"_1223342_1225867
    FAT*FAT: ouchi no naka de booru hottara dame yo . %mov:"21109"_1225867_1227447
    CHIchau . %mov:"21109"_1227447_1229006
    CHIkorokoro@o sun no . %mov:"21109"_1229006_1230079
  3. CHIun . %mov:"21109"_1581261_1582211
    FATkawakasu ne . %mov:"21109"_1582211_1583005
    FAT*FAT: naka ga na # nurete [//] nurechatten ne . %mov:"21109"_1583005_1585616
    FATyoisho . %mov:"21109"_1585616_1587456
    FAThai, Junkun jidoosha de asondete . %mov:"21109"_1587456_1591505
  4. CHItebukuro to # totten no ? %mov:"21109"_1616966_1620422
    FATtebukuro, un, uramukeru ne . %mov:"21109"_1620422_1622820
    FAT*FAT: uramukete ne naka kawakasu ne . %mov:"21109"_1622820_1626299
    CHIxxx # naka ? %mov:"21109"_1626299_1629625
    FATun . %mov:"21109"_1629625_1630019
  5. FATaa, otoshitara akan yo . %mov:"21109"_1686004_1688017
    CHIhairu no ? %mov:"21109"_1688017_1691664
    FAT*FAT: a, son [= sono] naka hain no . %mov:"21109"_1691664_1711751
    CHIhairinai [: hairanai] de . %mov:"21109"_1711751_1714409
    FATe ? %mov:"21109"_1713454_1715470
  6. CHInande ? %mov:"21109"_2024529_2027332
    FATn ? %mov:"21109"_2027332_2028095
    FAT*FAT: naka nureteru kara ne . %mov:"21109"_2028095_2029452
    CHIhonto ya . %mov:"21109"_2029452_2032459
    CHInureteru wa . %mov:"21109"_2032459_2033324
  7. FATun . %mov:"21109"_2049956_2049956
    CHInuereteru [: nureteru] . %mov:"21109"_2050348_2052029
    FAT*FAT: nureteru yaro,, naka ? %mov:"21109"_2052029_2053165
    CHIun . %mov:"21109"_2054066_2054066
    FATtsumetai yaro ? %mov:"21109"_2054066_2054750

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_ishii3.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21109.chaJun 2;11.092,115773.31

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. naka7 · 100.0%