PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (895 utterances, 2,568 words searched).

  1. untenshu mo noru yo . %mov:"30608"_831294_832369 FAT · japanese_ishii/30608.cha, line 473 · Jun 3;06
  2. Junkun mae noru no ? %mov:"30608"_864054_865145 FAT · japanese_ishii/30608.cha, line 489 · Jun 3;06
  3. Junkun dore ni noru ? %mov:"30608"_972828_976522 FAT · japanese_ishii/30608.cha, line 559 · Jun 3;06
  4. noru toko [<] aru yan . %mov:"30608"_1371655_1375034 FAT · japanese_ishii/30608.cha, line 742 · Jun 3;06
  5. oo, densha mo noru zoo . %mov:"30608"_2916961_2918586 FAT · japanese_ishii/30608.cha, line 1496 · Jun 3;06
  1. FATuun, basu bakkari . %mov:"30608"_826738_828401
    CHIyookee [: takusan] ? %mov:"30608"_828401_831294
    FAT*FAT: untenshu mo noru yo . %mov:"30608"_831294_832369
    CHIuwaa [>] ! %mov:"30608"_832369_835863
    FATdensha notte [<] basu notte iko ka ? %mov:"30608"_832369_835863
  2. FATkompyuutaakaa ya . %mov:"30608"_859971_861448
    CHIJunkun mae ya de . %mov:"30608"_861448_864054
    FAT*FAT: Junkun mae noru no ? %mov:"30608"_864054_865145
    CHIun . %mov:"30608"_865145_865580
    CHIJunkun ban [: yoru] made iru shi [: kara] . %mov:"30608"_865580_868393
  3. CHIeeto na +... %mov:"30608"_970207_972156
    FATun . %mov:"30608"_972156_972828
    FAT*FAT: Junkun dore ni noru ? %mov:"30608"_972828_976522
    CHIDemmaaku . %mov:"30608"_976522_979235
    FATDemmaaku ga ii ka ? %mov:"30608"_979235_980597
  4. CHIdooyuu toko xxx . %mov:"30608"_1370023_1371655
    CHInoru toko ko [>] +... %mov:"30608"_1371655_1375034
    FAT*FAT: noru toko [<] aru yan . %mov:"30608"_1371655_1375034
    FATkoko ya . %mov:"30608"_1375034_1375565
    CHIsoo . %mov:"30608"_1375565_1376829
  5. FATsoo ya . %mov:"30608"_2913820_2914622
    CHIkakkoii densha mo non no ? %mov:"30608"_2914622_2916961
    FAT*FAT: oo, densha mo noru zoo . %mov:"30608"_2916961_2918586
    CHIkakkoii densha mo non no ? %mov:"30608"_2918586_2921429
    FATun . %mov:"30608"_2921429_2921827

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_ishii1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30608.chaJun 3;6.082,568551.95

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. noru5 · 100.0%