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. a, buubuu@o soko ni atta nee . %mov:"10721"_91932_93309 FAT · japanese_ishii/10721.cha, line 92 · Jun 1;07
  2. soko ni mo aru ne, bu@o, fuun . %mov:"10721"_94271_96036 FAT · japanese_ishii/10721.cha, line 95 · Jun 1;07
  1. FATdoko tonden [: tondeiru] no ? %mov:"10721"_89602_90532
    CHIbuubu . %mov:"10721"_90532_91932
    FAT*FAT: a, buubuu@o soko ni atta nee . %mov:"10721"_91932_93309
    CHIbuubuu . %mov:"10721"_93309_94271
    FATsoko ni mo aru ne, bu@o, fuun . %mov:"10721"_94271_96036
  2. 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

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. soko2 · 100.0%