PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (159 utterances, 369 words searched).

  1. katai na,, kore wa . %mov:"10220"_508478_513295 FAT · japanese_ishii/10220.cha, line 287 · Jun 1;02
  2. katai . %mov:"10220"_531174_531677 FAT · japanese_ishii/10220.cha, line 301 · Jun 1;02
  1. japanese_ishii/10220.cha, line 287 · Jun, 1;02.02
    CHIun ? %mov:"10220"_504065_507253
    FATu, sotchi mo aru ka ?%mov:"10220"_507253_508478
    FAT*FAT: katai na,, kore wa . %mov:"10220"_508478_513295
    FATii ! %mov:"10220"_513295_514171
    FATii ! %mov:"10220"_514171_516437
  2. japanese_ishii/10220.cha, line 301 · Jun, 1;02.02
    CHIuu uu uu . %mov:"10220"_526990_530411
    FATkii ! %mov:"10220"_530411_531174
    FAT*FAT: katai . %mov:"10220"_531174_531677
    FATkattaa . %mov:"10220"_531677_535013
    FATa xxx . %mov:"10220"_535013_541162

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_ishii5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10220.chaJun 1;02.02369225.42

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. katai2 · 100.0%