PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

1.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (929 utterances, 2,666 words searched).

  1. sore [<] kurukuru@o mawaru no ya . FAT · japanese_ishii/20920.cha, line 1538 · Jun 2;09
  2. kurukuru@o to mawaru no . %mov:"20920"_3021627_3022995 FAT · japanese_ishii/20920.cha, line 1540 · Jun 2;09
  3. kurukuru@o mawaru no . %mov:"20920"_3029011_3030244 FAT · japanese_ishii/20920.cha, line 1545 · Jun 2;09
  4. kurukuru@o mawan no kore ya . %mov:"20920"_3275839_3277679 FAT · japanese_ishii/20920.cha, line 1656 · Jun 2;09
  5. kurukuru@o mawan no ka . %mov:"20920"_3290267_3291328 FAT · japanese_ishii/20920.cha, line 1667 · Jun 2;09
  1. FATe ? %mov:"20920"_3018616_3019661
    FATna [>] . %mov:"20920"_3019661_3021025
    FAT*FAT: sore [<] kurukuru@o mawaru no ya .
    CHIe ? %mov:"20920"_3021025_3021627
    FATkurukuru@o to mawaru no . %mov:"20920"_3021627_3022995
  2. FATsore [<] kurukuru@o mawaru no ya .
    CHIe ? %mov:"20920"_3021025_3021627
    FAT*FAT: kurukuru@o to mawaru no . %mov:"20920"_3021627_3022995
    FATnoru ka,, Jun mo ? %mov:"20920"_3022995_3025199
    CHIe ? %mov:"20920"_3025199_3026108
  3. FATJun mo noru ka ? %mov:"20920"_3026108_3027121
    CHIun . %mov:"20920"_3027121_3029011
    FAT*FAT: kurukuru@o mawaru no . %mov:"20920"_3029011_3030244
    FATnottemiru ka . %mov:"20920"_3030244_3033268
    CHIun . %mov:"20920"_3033268_3034441
  4. FATyuuenchi koko ya . %mov:"20920"_3268781_3269944
    CHIkurukuru@o yatsu wa ? %mov:"20920"_3269944_3275839
    FAT*FAT: kurukuru@o mawan no kore ya . %mov:"20920"_3275839_3277679
    FATkore ka [/] kore ka ? %mov:"20920"_3277679_3278581
    CHIun . %mov:"20920"_3278581_3279536
  5. FATchigau ka ? %mov:"20920"_3287252_3288019
    CHIkore xxx ya . %mov:"20920"_3288019_3290267
    FAT*FAT: kurukuru@o mawan no ka . %mov:"20920"_3290267_3291328
    CHIxxx ya . %mov:"20920"_3291328_3293820
    CHIkikansha ya [>] . %mov:"20920"_3293820_3293820

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_ishii1.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20920.chaJun 2;9.202,666551.88

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. kurukuru5 · 100.0%