PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (406 utterances, 1,200 words searched).

  1. bing . 168068_169750 MOT · french/lyon_nat04a.cha, line 177 · Nathan 1;01
  2. bing . 233590_235462 MOT · french/lyon_nat04a.cha, line 220 · Nathan 1;01
  3. et bing . 1592863_1593715 MOT · french/lyon_nat04a.cha, line 1063 · Nathan 1;01
  1. MOTbien: .
    MOTça tient regarde ! 166777_168068
    MOT*MOT: bing . 168068_169750
    MOTxxx . 169750_173337
    MOTallez .
  2. MOTmm: . 228868_233590
    MOTwww [= ! rit] .
    MOT*MOT: bing . 233590_235462
    MOToh: attends ! 235462_239253
    MOTle joli chapeau .
  3. MOTallez <plus vite> [/] plus vite . 1589853_1591550
    CHIwww [= ! rit] . 1591550_1592863
    MOT*MOT: et bing . 1592863_1593715
    MOTmais tu [/] tu [/] tu [/] tu vas t'épuiser à c(e) jeu là . 1593715_1596795
    CHIwww [= ! gémit] .

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. Nathan french2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat04a.chaNathan 1;1.241,200332.50

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. bing3 · 100.0%