PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (203 utterances, 580 words searched).

  1. kireena okao ni natta . %mov:"10420"_271693_272707 FAT · japanese_ishii/10420.cha, line 165 · Jun 1;04
  2. okao (o) misetekudasai . %mov:"10420"_273506_274631 FAT · japanese_ishii/10420.cha, line 167 · Jun 1;04
  1. FATJunkun mo kireekiree shite . %mov:"10420"_265568_267068
    FATa, kiekiee [: kireikirei] . %mov:"10420"_267068_271693
    FAT*FAT: kireena okao ni natta . %mov:"10420"_271693_272707
    FATmishetekudashai [: misetekudasai] . %mov:"10420"_272707_273506
    FATokao (o) misetekudasai . %mov:"10420"_273506_274631
  2. FATkireena okao ni natta . %mov:"10420"_271693_272707
    FATmishetekudashai [: misetekudasai] . %mov:"10420"_272707_273506
    FAT*FAT: okao (o) misetekudasai . %mov:"10420"_273506_274631
    CHIbaa a . %mov:"10420"_274631_277693
    FATbooru ? %mov:"10420"_277693_278912

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_ishii3.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10420.chaJun 1;4.20580223.45

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. okao2 · 100.0%