PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (285 utterances, 754 words searched).

  1. hai . %mov:"30507"_244790_245828 FAT · japanese_ishii/30507.cha, line 145 · Jun 3;05
  2. hai . %mov:"30507"_922773_923361 FAT · japanese_ishii/30507.cha, line 475 · Jun 3;05
  1. japanese_ishii/30507.cha, line 145 · Jun, 3;5.07
    CHIun . %mov:"30507"_239584_239991
    CHIjidoosha desu . %mov:"30507"_239991_244790
    FAT*FAT: hai . %mov:"30507"_244790_245828
    FATomiyage ka,, kore ? %mov:"30507"_245828_247534
    CHIun . %mov:"30507"_247534_248007
  2. japanese_ishii/30507.cha, line 475 · Jun, 3;5.07
    FATkega hito ? %mov:"30507"_920877_921734
    FATkega shita hito ? %mov:"30507"_921734_922773
    FAT*FAT: hai . %mov:"30507"_922773_923361
    FATbyooin ittekudasai,, byooin e . %mov:"30507"_923361_930211
    CHIhora, koko . %mov:"30507"_930211_932719

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_ishii2.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30507.chaJun 3;5.07754222.65

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. hai2 · 100.0%