PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (820 utterances, 2,162 words searched).

  1. chau ka ? %mov:"20720"_922460_924527 FAT · japanese_ishii/20720.cha, line 529 · Jun 2;07
  2. da to chau . %mov:"20720"_1095697_1097122 FAT · japanese_ishii/20720.cha, line 617 · Jun 2;07
  3. eebiishii no basu chau ya . %mov:"20720"_1616434_1618022 FAT · japanese_ishii/20720.cha, line 909 · Jun 2;07
  4. koko chau ka ? %mov:"20720"_2220719_2222591 FAT · japanese_ishii/20720.cha, line 1209 · Jun 2;07
  5. koo chau ka ? %mov:"20720"_3564853_3565582 FAT · japanese_ishii/20720.cha, line 1810 · Jun 2;07
  1. FATherikoputaa ya,, sore mo . %mov:"20720"_919580_920922
    CHIkore wa chau wa . %mov:"20720"_920922_920922
    FAT*FAT: chau ka ? %mov:"20720"_922460_924527
    CHIkore naa # matte yuuteru # hore . %mov:"20720"_924527_928345
    CHIjidoosha ! %mov:"20720"_928345_930694
  2. FATraion . %mov:"20720"_1093754_1094714
    CHIdaion . %mov:"20720"_1094714_1095697
    FAT*FAT: da to chau . %mov:"20720"_1095697_1097122
    FATra . %mov:"20720"_1097122_1097819
    CHIda # daion <xxx> [>] . %mov:"20720"_1097819_1100392
  3. CHIIgisu [: Igirisu] no basu ya . %mov:"20720"_1613818_1615552
    FATaa, soo . %mov:"20720"_1615552_1616434
    FAT*FAT: eebiishii no basu chau ya . %mov:"20720"_1616434_1618022
    FATIgirisu no basu yaro ? %mov:"20720"_1618022_1619343
    CHIIgirisu no basu ! %mov:"20720"_1619343_1621363
  4. CHInai # nai wa . %mov:"20720"_2214740_2219619
    FATokashii naa . %mov:"20720"_2219619_2220719
    FAT*FAT: koko chau ka ? %mov:"20720"_2220719_2222591
    FATatta [/] atta . %mov:"20720"_2222591_2223140
    FATatta desho . %mov:"20720"_2223140_2230034
  5. FATsenaka kotchi ya . %mov:"20720"_3561980_3562976
    FAThantai ya,, kore okao ga . %mov:"20720"_3562976_3564853
    FAT*FAT: koo chau ka ? %mov:"20720"_3564853_3565582
    FATkoo desho ? %mov:"20720"_3565582_3567528
    FAToheso wa mae desho . %mov:"20720"_3567528_3569186

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_ishii2.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20720.chaJun 2;7.202,162552.31

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. chau5 · 100.0%