PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (622 utterances, 1,511 words searched).

  1. ato de naosu ? %mov:"21105"_152656_153474 FAT · japanese_ishii/21105.cha, line 74 · Jun 2;11
  2. Junkun ga naosu no ? %mov:"21105"_181507_183057 FAT · japanese_ishii/21105.cha, line 89 · Jun 2;11
  3. Junkun ga naosu no ? %mov:"21105"_184067_185243 FAT · japanese_ishii/21105.cha, line 91 · Jun 2;11
  4. kore michi # naosu yatsu ka ? %mov:"21105"_1305768_1307856 FAT · japanese_ishii/21105.cha, line 489 · Jun 2;11
  5. michi naosu yatsu ? %mov:"21105"_1309552_1310605 FAT · japanese_ishii/21105.cha, line 491 · Jun 2;11
  6. naosu no . %mov:"21105"_1315817_1316793 FAT · japanese_ishii/21105.cha, line 494 · Jun 2;11
  1. FAThandoru ga kowaretetara ootobai norenai yan . %mov:"21105"_144113_147162
    CHIato de naottaru [: naoshiteyaru],, Junkun ga . %mov:"21105"_147162_152656
    FAT*FAT: ato de naosu ? %mov:"21105"_152656_153474
    CHIun . %mov:"21105"_153474_154230
    CHIhakobu tte,, kono ootobai . %mov:"21105"_154230_157036
  2. CHIsawattara akan de . %mov:"21105"_178191_180560
    FATun, sawaranai yo . %mov:"21105"_180560_181507
    FAT*FAT: Junkun ga naosu no ? %mov:"21105"_181507_183057
    CHIn ? %mov:"21105"_183057_184067
    FATJunkun ga naosu no ? %mov:"21105"_184067_185243
  3. FATJunkun ga naosu no ? %mov:"21105"_181507_183057
    CHIn ? %mov:"21105"_183057_184067
    FAT*FAT: Junkun ga naosu no ? %mov:"21105"_184067_185243
    CHIamunai [: abunai],, Junkun wa . %mov:"21105"_185243_186732
    FATabunai no . %mov:"21105"_186732_189022
  4. CHIkore wa ? %mov:"21105"_1301010_1304905
    CHItaiya an nya . %mov:"21105"_1304905_1305768
    FAT*FAT: kore michi # naosu yatsu ka ? %mov:"21105"_1305768_1307856
    CHIun . %mov:"21105"_1307856_1309552
    FATmichi naosu yatsu ? %mov:"21105"_1309552_1310605
  5. FATkore michi # naosu yatsu ka ? %mov:"21105"_1305768_1307856
    CHIun . %mov:"21105"_1307856_1309552
    FAT*FAT: michi naosu yatsu ? %mov:"21105"_1309552_1310605
    FATroodorooraa . %mov:"21105"_1310605_1311783
    CHImichi kowasu no . %mov:"21105"_1311783_1315817
  6. FATroodorooraa . %mov:"21105"_1310605_1311783
    CHImichi kowasu no . %mov:"21105"_1311783_1315817
    FAT*FAT: naosu no . %mov:"21105"_1315817_1316793
    CHImichi kowasu noo [>] ! %mov:"21105"_1316793_1319119
    FATa, soo ka [<] . %mov:"21105"_1316793_1319119

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_ishii3.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21105.chaJun 2;11.051,511663.97

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. naosu6 · 100.0%