PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (775 utterances, 1,951 words searched).

  1. pii@o yuu yatsu [<] ? %mov:"20908"_1658010_1661212 FAT · japanese_ishii/20908.cha, line 773 · Jun 2;09
  2. yuki no yatsu, soo . %mov:"20908"_3462408_3463193 FAT · japanese_ishii/20908.cha, line 1601 · Jun 2;09
  3. minna yuki no yatsu . %mov:"20908"_3464286_3465273 FAT · japanese_ishii/20908.cha, line 1604 · Jun 2;09
  4. hipparu yatsu nee . %mov:"20908"_3660896_3663251 FAT · japanese_ishii/20908.cha, line 1742 · Jun 2;09
  5. hipparu yatsu ? %mov:"20908"_3724946_3724946 FAT · japanese_ishii/20908.cha, line 1792 · Jun 2;09
  1. FATe ? %mov:"20908"_1657358_1658010
    CHIpii@o ya [>] . %mov:"20908"_1658010_1661212
    FAT*FAT: pii@o yuu yatsu [<] ? %mov:"20908"_1658010_1661212
    CHIun . %mov:"20908"_1661212_1662098
    FATfuun . %mov:"20908"_1662098_1662651
  2. FATn ? %mov:"20908"_3460118_3461065
    CHIyuki ya,, kore . %mov:"20908"_3461065_3462408
    FAT*FAT: yuki no yatsu, soo . %mov:"20908"_3462408_3463193
    CHIkore wa ? %mov:"20908"_3463193_3463845
    FATsore mo . %mov:"20908"_3463845_3464286
  3. CHIkore wa ? %mov:"20908"_3463193_3463845
    FATsore mo . %mov:"20908"_3463845_3464286
    FAT*FAT: minna yuki no yatsu . %mov:"20908"_3464286_3465273
    CHIkore wa ? %mov:"20908"_3465273_3466043
    FATsore mo . %mov:"20908"_3466043_3466653
  4. FATtooingutorakutaa [<] . %mov:"20908"_3656935_3659949
    CHIkore wa ? %mov:"20908"_3659949_3660896
    FAT*FAT: hipparu yatsu nee . %mov:"20908"_3660896_3663251
    CHIkore wa ? %mov:"20908"_3663251_3663862
    FATkore wa nan ya . %mov:"20908"_3663862_3663862
  5. CHIkore wa ? %mov:"20908"_3720104_3721539
    FATtoreeraa . %mov:"20908"_3721539_3723086
    FAT*FAT: hipparu yatsu ? %mov:"20908"_3724946_3724946
    CHIhipparu yatsu ya . %mov:"20908"_3724946_3726481
    FATJun mo motteru naa,, toreeraa ? %mov:"20908"_3726481_3729306

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_ishii2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20908.chaJun 2;9.081,951552.56

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. yatsu5 · 100.0%