PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (473 utterances, 1,216 words searched).

  1. go tte kaitaaru desho ? %mov:"20415"_111140_112214 FAT · japanese_ishii/20415.cha, line 71 · Jun 2;04
  2. kotchi no basu kaitaaru ne . %mov:"20415"_1694222_1696432 FAT · japanese_ishii/20415.cha, line 874 · Jun 2;04
  3. soko kaitaaru ne ? %mov:"20415"_1707001_1707872 FAT · japanese_ishii/20415.cha, line 880 · Jun 2;04
  4. kaitaaru nee ? %mov:"20415"_1718158_1720226 FAT · japanese_ishii/20415.cha, line 887 · Jun 2;04
  5. a, abc kaitaaru no ? %mov:"20415"_1726294_1728141 FAT · japanese_ishii/20415.cha, line 891 · Jun 2;04
  1. CHIkoko kaiteru . %mov:"20415"_109115_110651
    FATkaiteru ne ? %mov:"20415"_110651_111140
    FAT*FAT: go tte kaitaaru desho ? %mov:"20415"_111140_112214
    CHIgo kaiteru . %mov:"20415"_112214_113695
    FATun . %mov:"20415"_113695_114396
  2. FATdensha iku no . %mov:"20415"_1690957_1691758
    FATkore nani mo kaitenai ne,, koko . %mov:"20415"_1691758_1694222
    FAT*FAT: kotchi no basu kaitaaru ne . %mov:"20415"_1694222_1696432
    FATairport bus service . %mov:"20415"_1696432_1699260
    FATkotchi kaitenai na . %mov:"20415"_1699260_1700335
  3. FATun . %mov:"20415"_1703351_1704111
    CHIkoko wa # koko ? %mov:"20415"_1704111_1707001
    FAT*FAT: soko kaitaaru ne ? %mov:"20415"_1707001_1707872
    CHIkaite ne ? %mov:"20415"_1707872_1708884
    CHIkoko kaitenai na . %mov:"20415"_1708884_1710974
  4. FATkaitenai naa ? %mov:"20415"_1716012_1717507
    FATkotchi wa ? %mov:"20415"_1717507_1718158
    FAT*FAT: kaitaaru nee ? %mov:"20415"_1718158_1720226
    CHIko [//] kotchi kaiteru . %mov:"20415"_1720226_1723028
    FATkaiteru nee ? %mov:"20415"_1723028_1724249
  5. FATkaiteru nee ? %mov:"20415"_1723028_1724249
    CHIeebiishii [= ABC] kaite . %mov:"20415"_1724249_1724249
    FAT*FAT: a, abc kaitaaru no ? %mov:"20415"_1726294_1728141
    CHIkaiten no bashu . %mov:"20415"_1728141_1729504
    FAThonto . %mov:"20415"_1729504_1730236

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_ishii4.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20415.chaJun 2;4.151,216554.11

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. kaitaaru5 · 100.0%