PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (541 utterances, 1,370 words searched).

  1. ikenai,, konna takusan yuki attara . %mov:"30106"_1544134_1546151 FAT · japanese_ishii/30106.cha, line 751 · Jun 3;01
  2. konna chuusha ka ? %mov:"30106"_1781376_1782210 FAT · japanese_ishii/30106.cha, line 895 · Jun 3;01
  3. e, konna pisutoru ni natteru no . %mov:"30106"_1784506_1786091 FAT · japanese_ishii/30106.cha, line 898 · Jun 3;01
  4. konna basu doo shita no ? %mov:"30106"_2133362_2135152 FAT · japanese_ishii/30106.cha, line 1063 · Jun 3;01
  1. japanese_ishii/30106.cha, line 751 · Jun, 3;1.06
    FATyuki ga ipppai tsumotteru nee . %mov:"30106"_1535919_1538369
    CHIxxx na # jidoosha ikeru ka naa . %mov:"30106"_1538369_1544134
    FAT*FAT: ikenai,, konna takusan yuki attara . %mov:"30106"_1544134_1546151
    FATnaa ? %mov:"30106"_1546151_1548692
    CHIshita yattara # ikeru ? %mov:"30106"_1548692_1551892
  2. japanese_ishii/30106.cha, line 895 · Jun, 3;1.06
    FATun . %mov:"30106"_1777563_1780055
    FATkoro # donna chuusha ? %mov:"30106"_1780055_1781376
    FAT*FAT: konna chuusha ka ? %mov:"30106"_1781376_1782210
    FATpushu@o tte shahan no ? %mov:"30106"_1782210_1783498
    CHIun . %mov:"30106"_1783498_1784506
  3. japanese_ishii/30106.cha, line 898 · Jun, 3;1.06
    FATpushu@o tte shahan no ? %mov:"30106"_1782210_1783498
    CHIun . %mov:"30106"_1783498_1784506
    FAT*FAT: e, konna pisutoru ni natteru no . %mov:"30106"_1784506_1786091
    CHIun . %mov:"30106"_1786091_1787082
    FATkoo shite tsukun@o te shahatta . %mov:"30106"_1787082_1788686
  4. japanese_ishii/30106.cha, line 1063 · Jun, 3;1.06
    FATurusaai ! %mov:"30106"_2094087_2097232
    FATurusaai ! %mov:"30106"_2097232_2133362
    FAT*FAT: konna basu doo shita no ? %mov:"30106"_2133362_2135152
    FATdare ni kattemorota no,, kore ? %mov:"30106"_2135152_2137607
    CHIxxx # Heewadoo [= super market] ni kore atta mon . %mov:"30106"_2137607_2144374

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_ishii2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30106.chaJun 3;1.061,370442.92

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. konna4 · 100.0%