PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (203 utterances, 580 words searched).

  1. dore ? %mov:"10420"_473333_474380 FAT · japanese_ishii/10420.cha, line 286 · Jun 1;04
  2. dore (ga) mamma ? %mov:"10420"_769754_770567 FAT · japanese_ishii/10420.cha, line 457 · Jun 1;04
  1. japanese_ishii/10420.cha, line 286 · Jun, 1;4.20
    CHIaa aa buua ? %mov:"10420"_466943_471333
    CHIbuuabu ? %mov:"10420"_471333_473333
    FAT*FAT: dore ? %mov:"10420"_473333_474380
    FATbuu@o aru [/] aru xxx . %mov:"10420"_474380_474380
    CHIxxx . %mov:"10420"_474380_476943
  2. japanese_ishii/10420.cha, line 457 · Jun, 1;4.20
    FATe ? %mov:"10420"_768364_768864
    CHImamma ? %mov:"10420"_768864_769754
    FAT*FAT: dore (ga) mamma ? %mov:"10420"_769754_770567
    CHIbuuao ? %mov:"10420"_770567_802426
    CHIooe ? %mov:"10420"_802426_807207

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_ishii3.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10420.chaJun 1;4.20580223.45

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. dore2 · 100.0%