PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (720 utterances, 1,780 words searched).

  1. sore wa warui hito dake non nyaro [<] ? %mov:"30112"_302468_307409 FAT · japanese_ishii/30112.cha, line 168 · Jun 3;01
  2. ippai hito non no . %mov:"30112"_542614_543862 FAT · japanese_ishii/30112.cha, line 321 · Jun 3;01
  3. yoso no hito ga . %mov:"30112"_545228_546063 FAT · japanese_ishii/30112.cha, line 323 · Jun 3;01
  4. hito ga nenne sun nya . %mov:"30112"_1987454_1989593 FAT · japanese_ishii/30112.cha, line 1229 · Jun 3;01
  5. yoso no [<] hito ga ? %mov:"30112"_2042126_2043862 FAT · japanese_ishii/30112.cha, line 1271 · Jun 3;01
  1. FATnorimasen . %mov:"30112"_301243_302468
    CHIbuunbuun@o [>] . %mov:"30112"_302468_307409
    FAT*FAT: sore wa warui hito dake non nyaro [<] ? %mov:"30112"_302468_307409
    CHIuun@o . %mov:"30112"_307409_310153
    FATso yaro ? %mov:"30112"_310153_310739
  2. FATyoso ? %mov:"30112"_538396_539348
    CHIippai # hito non nya de . %mov:"30112"_539348_542614
    FAT*FAT: ippai hito non no . %mov:"30112"_542614_543862
    CHIun, kotchi kara . %mov:"30112"_543862_545228
    FATyoso no hito ga . %mov:"30112"_545228_546063
  3. FATippai hito non no . %mov:"30112"_542614_543862
    CHIun, kotchi kara . %mov:"30112"_543862_545228
    FAT*FAT: yoso no hito ga . %mov:"30112"_545228_546063
    CHIkotchi [/] kotchi ue non nya de . %mov:"30112"_546063_548880
    FAThee . %mov:"30112"_548880_549802
  4. FATchigau yan . %mov:"30112"_1986022_1986831
    FATdensha chigau yo . %mov:"30112"_1986831_1987454
    FAT*FAT: hito ga nenne sun nya . %mov:"30112"_1987454_1989593
    FATbeddo ya . %mov:"30112"_1989593_1990667
    FATna ? %mov:"30112"_1990667_1992743
  5. FATe ? %mov:"30112"_2041305_2042126
    CHIyoso ga nai no [>] . %mov:"30112"_2042126_2043862
    FAT*FAT: yoso no [<] hito ga ? %mov:"30112"_2042126_2043862
    CHIun . %mov:"30112"_2043862_2044731
    FATfuun . %mov:"30112"_2044731_2045280

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30112.chaJun 3;1.121,780552.81

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. hito5 · 100.0%