PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 593 words searched).

  1. soko ni mo aru ne, bu@o, fuun . %mov:"10721"_94271_96036 FAT · japanese_ishii/10721.cha, line 95 · Jun 1;07
  2. un bubuu@o mo aru . %mov:"10721"_276938_277998 FAT · japanese_ishii/10721.cha, line 213 · Jun 1;07
  1. FATa, buubuu@o soko ni atta nee . %mov:"10721"_91932_93309
    CHIbuubuu . %mov:"10721"_93309_94271
    FAT*FAT: soko ni mo aru ne, bu@o, fuun . %mov:"10721"_94271_96036
    CHIhoa . %mov:"10721"_96036_97661
    CHIbuuhoa . %mov:"10721"_97661_100641
  2. CHItaakin . %mov:"10721"_273675_275755
    CHIbuubuua . %mov:"10721"_275755_276938
    FAT*FAT: un bubuu@o mo aru . %mov:"10721"_276938_277998
    CHIwa ! %mov:"10721"_277998_281057
    FATsaa, kondo wa dono gohon desu ka ? %mov:"10721"_281057_286793

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_ishii3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10721.chaJun 1;7.21593223.37

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. mo2 · 100.0%