PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (665 utterances, 1,621 words searched).

  1. aa, hantai desu nee . %mov:"20915"_606490_623320 FAT · japanese_ishii/20915.cha, line 279 · Jun 2;09
  2. aa, kakkoii wa . %mov:"20915"_949644_952141 FAT · japanese_ishii/20915.cha, line 401 · Jun 2;09
  3. aa, Otoosan toko muiteru no . %mov:"20915"_1083160_1084238 FAT · japanese_ishii/20915.cha, line 468 · Jun 2;09
  4. a, aa aa . %mov:"20915"_2098167_2100168 FAT · japanese_ishii/20915.cha, line 847 · Jun 2;09
  5. a, aa aa . %mov:"20915"_2098167_2100168 FAT · japanese_ishii/20915.cha, line 847 · Jun 2;09
  1. japanese_ishii/20915.cha, line 279 · Jun, 2;9.15
    FATmottekitekudasai,, terebi o . %mov:"20915"_600600_601812
    CHIhai # terebi mottekimasu . %mov:"20915"_601812_606490
    FAT*FAT: aa, hantai desu nee . %mov:"20915"_606490_623320
    FATterebi hantai desu nee . %mov:"20915"_623320_626352
    CHIterebi # hantai desu . %mov:"20915"_626352_631533
  2. japanese_ishii/20915.cha, line 401 · Jun, 2;9.15
    FATmegane chau naa . %mov:"20915"_946367_947382
    CHIhore . %mov:"20915"_947382_949644
    FAT*FAT: aa, kakkoii wa . %mov:"20915"_949644_952141
    CHIOtoosan ookii ka ? %mov:"20915"_952141_957721
    FATun, Otoosan ookii kara hairanai ne. %mov:"20915"_957721_959377
  3. japanese_ishii/20915.cha, line 468 · Jun, 2;9.15
    CHIOtoosan mite . %mov:"20915"_1078375_1081502
    CHIOtoosan koko [: toko] muiten ne . %mov:"20915"_1081502_1083160
    FAT*FAT: aa, Otoosan toko muiteru no . %mov:"20915"_1083160_1084238
    FATinu yaro . %mov:"20915"_1084238_1085339
    CHIkore inu . %mov:"20915"_1085339_1086386
  4. japanese_ishii/20915.cha, line 847 · Jun, 2;9.15
    FAThazushitageyo . %mov:"20915"_2097133_2097676
    FATkashitegoran . %mov:"20915"_2097676_2098167
    FAT*FAT: a, aa aa . %mov:"20915"_2098167_2100168
    FATkowashita . %mov:"20915"_2100168_2100731
    CHIxxx . %mov:"20915"_2100731_2103093

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_ishii3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20915.chaJun 2;9.151,621453.08

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. aa5 · 100.0%