PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

10.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 593 words searched).

  1. toto . %mov:"10721"_147709_148245 FAT · japanese_ishii/10721.cha, line 120 · Jun 1;07
  2. un, toto . %mov:"10721"_148245_149110 FAT · japanese_ishii/10721.cha, line 121 · Jun 1;07
  3. toto [= fish] iru nee . %mov:"10721"_188161_189249 FAT · japanese_ishii/10721.cha, line 150 · Jun 1;07
  4. a, toto takusan iru ne, toto . %mov:"10721"_242112_247298 FAT · japanese_ishii/10721.cha, line 192 · Jun 1;07
  5. a, toto takusan iru ne, toto . %mov:"10721"_242112_247298 FAT · japanese_ishii/10721.cha, line 192 · Jun 1;07
  6. toto ka,, sore ? %mov:"10721"_464186_465464 FAT · japanese_ishii/10721.cha, line 338 · Jun 1;07
  1. FATkore nani,, kore . %mov:"10721"_145783_146401
    CHItoto . %mov:"10721"_146401_147709
    FAT*FAT: toto . %mov:"10721"_147709_148245
    FATun, toto . %mov:"10721"_148245_149110
    FAThonto ya nee . %mov:"10721"_149110_150079
  2. CHItoto . %mov:"10721"_146401_147709
    FATtoto . %mov:"10721"_147709_148245
    FAT*FAT: un, toto . %mov:"10721"_148245_149110
    FAThonto ya nee . %mov:"10721"_149110_150079
    FATkore wa [>] ? %mov:"10721"_150079_150955
  3. CHIchutchua . %mov:"10721"_185336_187309
    FATchutchu@o ya nee . %mov:"10721"_187309_188161
    FAT*FAT: toto [= fish] iru nee . %mov:"10721"_188161_189249
    CHIdaea . %mov:"10721"_189249_190249
    FATkoko nan ya [>] . %mov:"10721"_190249_191474
  4. FATe ? %mov:"10721"_240554_241019
    FATchaachan [: kaasan] ka ? %mov:"10721"_241019_242112
    FAT*FAT: a, toto takusan iru ne, toto . %mov:"10721"_242112_247298
    FATosakana . %mov:"10721"_247298_248634
    CHIbuuaa ? %mov:"10721"_248634_251314
  5. FATsore nani [<] ? %mov:"10721"_462892_463616
    CHIka ? %mov:"10721"_463616_464186
    FAT*FAT: toto ka,, sore ? %mov:"10721"_464186_465464
    CHIeewa . %mov:"10721"_465464_470381
    FATun ? %mov:"10721"_470381_470932

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_ishii10.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10721.chaJun 1;7.215935610.12

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.

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