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. koo yatta [: datta] ka na ? %mov:"10220"_521303_522000 FAT · japanese_ishii/10220.cha, line 295 · 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 295 · Jun, 1;02.02
    FATun . %mov:"10220"_519696_520271
    CHIun ? %mov:"10220"_520271_521303
    FAT*FAT: koo yatta [: datta] ka na ? %mov:"10220"_521303_522000
    CHIun uu . %mov:"10220"_522000_522579
    CHIuu uu u u . %mov:"10220"_522579_524936

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. na2 · 100.0%