PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (227 utterances, 517 words searched).

  1. moo iya nan [: na no] . %mov:"10008"_822662_825048 FAT · japanese_ishii/10008.cha, line 438 · Jun 1;00
  2. moo tsukareta n [: no] . %mov:"10008"_825048_827618 FAT · japanese_ishii/10008.cha, line 439 · Jun 1;00
  1. CHIaa . %mov:"10008"_816531_818882
    FATnani ga . %mov:"10008"_818882_822662
    FAT*FAT: moo iya nan [: na no] . %mov:"10008"_822662_825048
    FATmoo tsukareta n [: no] . %mov:"10008"_825048_827618
    CHIaa aa [<] . %mov:"10008"_825048_827618
  2. FATnani ga . %mov:"10008"_818882_822662
    FATmoo iya nan [: na no] . %mov:"10008"_822662_825048
    FAT*FAT: moo tsukareta n [: no] . %mov:"10008"_825048_827618
    CHIaa aa [<] . %mov:"10008"_825048_827618
    FATdore ga . %mov:"10008"_827618_828362

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_ishii3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.08517223.87

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. moo2 · 100.0%