PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. yuki ya . %mov:"20908"_3452528_3453484 FAT · japanese_ishii/20908.cha, line 1594 · Jun 2;09
  2. yuki pyuu@o te ne hokashiten ne . %mov:"20908"_3455479_3457777 FAT · japanese_ishii/20908.cha, line 1597 · Jun 2;09
  3. yuki no yatsu, soo . %mov:"20908"_3462408_3463193 FAT · japanese_ishii/20908.cha, line 1601 · Jun 2;09
  4. minna yuki no yatsu . %mov:"20908"_3464286_3465273 FAT · japanese_ishii/20908.cha, line 1604 · Jun 2;09
  5. yuki noken no, nee ? %mov:"20908"_3466653_3467976 FAT · japanese_ishii/20908.cha, line 1607 · Jun 2;09
  6. un, jidoosha hashirenai kara nee # yuki nokeru no,, sore . %mov:"20908"_3472712_3477504 FAT · japanese_ishii/20908.cha, line 1611 · Jun 2;09
  7. un, jidoosha hashirenai yaro,, yuki ga attara ? %mov:"20908"_3484948_3487662 FAT · japanese_ishii/20908.cha, line 1619 · Jun 2;09
  1. FATmita [<] ? %mov:"20908"_3445758_3449893
    CHIa, kore wa ? %mov:"20908"_3449893_3452528
    FAT*FAT: yuki ya . %mov:"20908"_3452528_3453484
    CHIuki [: yuki] pi +... %mov:"20908"_3453484_3454582
    CHIkore wa ? %mov:"20908"_3454582_3455479
  2. CHIuki [: yuki] pi +... %mov:"20908"_3453484_3454582
    CHIkore wa ? %mov:"20908"_3454582_3455479
    FAT*FAT: yuki pyuu@o te ne hokashiten ne . %mov:"20908"_3455479_3457777
    CHIkore wa ? %mov:"20908"_3457777_3460118
    FATn ? %mov:"20908"_3460118_3461065
  3. 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
  4. 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
  5. CHIkore wa ? %mov:"20908"_3465273_3466043
    FATsore mo . %mov:"20908"_3466043_3466653
    FAT*FAT: yuki noken no, nee ? %mov:"20908"_3466653_3467976
    CHIkore wa ? %mov:"20908"_3466653_3468808
    FATsore mo . %mov:"20908"_3468808_3469609
  6. FATsore mo . %mov:"20908"_3468808_3469609
    CHIyuki noseru [//] noken no ? %mov:"20908"_3469609_3472712
    FAT*FAT: un, jidoosha hashirenai kara nee # yuki nokeru no,, sore . %mov:"20908"_3472712_3477504
    CHIkore wa ? %mov:"20908"_3477504_3478195
    FATsore mo . %mov:"20908"_3478195_3478824
  7. FATun . %mov:"20908"_3483084_3483980
    CHIkono yuki ? %mov:"20908"_3483980_3484948
    FAT*FAT: un, jidoosha hashirenai yaro,, yuki ga attara ? %mov:"20908"_3484948_3487662
    CHIun . %mov:"20908"_3487662_3489168
    CHIhashireru,, jidoosha ? %mov:"20908"_3489168_3491630

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_ishii3.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20908.chaJun 2;9.081,951773.59

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. yuki7 · 100.0%