PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (717 utterances, 1,844 words searched).

  1. aa, naotta . %mov:"30029"_217825_218397 FAT · japanese_ishii/30029.cha, line 154 · Jun 3;00
  2. hai, naotta zo . %mov:"30029"_1917671_1918814 FAT · japanese_ishii/30029.cha, line 908 · Jun 3;00
  3. naotta [/] naotta . %mov:"30029"_1920392_1921519 FAT · japanese_ishii/30029.cha, line 910 · Jun 3;00
  4. naotta [/] naotta . %mov:"30029"_1920392_1921519 FAT · japanese_ishii/30029.cha, line 910 · Jun 3;00
  5. kore naotta yo, hora . %mov:"30029"_2434431_2435356 FAT · japanese_ishii/30029.cha, line 1176 · Jun 3;00
  1. japanese_ishii/30029.cha, line 154 · Jun, 3;0.29
    CHIhonde [: sorede] koko ni hashiru no . %mov:"30029"_212654_216814
    CHIbiin@o . %mov:"30029"_216814_217825
    FAT*FAT: aa, naotta . %mov:"30029"_217825_218397
    CHIbuun@o biin@o . %mov:"30029"_218397_222182
    FATsore hashiranai . %mov:"30029"_222182_222809
  2. japanese_ishii/30029.cha, line 908 · Jun, 3;0.29
    FATun, naosu . %mov:"30029"_1913218_1914218
    CHInananai [?] te ? %mov:"30029"_1914218_1917671
    FAT*FAT: hai, naotta zo . %mov:"30029"_1917671_1918814
    CHIun ? %mov:"30029"_1918814_1920392
    FATnaotta [/] naotta . %mov:"30029"_1920392_1921519
  3. japanese_ishii/30029.cha, line 910 · Jun, 3;0.29
    FAThai, naotta zo . %mov:"30029"_1917671_1918814
    CHIun ? %mov:"30029"_1918814_1920392
    FAT*FAT: naotta [/] naotta . %mov:"30029"_1920392_1921519
    FATkoko xxx pin@o (te) futa sun nya ro ? %mov:"30029"_1921519_1923059
    FATkoo sun no chau no . %mov:"30029"_1923059_1923752
  4. japanese_ishii/30029.cha, line 1176 · Jun, 3;0.29
    FATchoomen [= notebook] ya . %mov:"30029"_2431036_2433018
    CHIchoomen ya . %mov:"30029"_2433018_2434431
    FAT*FAT: kore naotta yo, hora . %mov:"30029"_2434431_2435356
    FATkoo # yawarakaku natta. %mov:"30029"_2435356_2436622
    FATkatakunai yo . %mov:"30029"_2436622_2437545

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_ishii2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30029.chaJun 3;0.291,844452.71

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. naotta5 · 100.0%