PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,497 words searched).

  1. regarde comme i(l) va êt(re) beau ton garage . 170308_174487 MOT · french/lyon_tim16a.cha, line 160 · Tim 1;07
  2. alors c'est beau ? MOT · french/lyon_tim16a.cha, line 163 · Tim 1;07
  3. oh: (.) c'est beau . 462027_469000 MOT · french/lyon_tim16a.cha, line 448 · Tim 1;07
  1. CHIyyy . 160510_168027
    MOTho: . 168027_170308
    MOT*MOT: regarde comme i(l) va êt(re) beau ton garage . 170308_174487
    MOTalors c'est beau ?
    MOTwww [= ! rit] . 174487_182503
  2. MOTho: . 168027_170308
    MOTregarde comme i(l) va êt(re) beau ton garage . 170308_174487
    MOT*MOT: alors c'est beau ?
    MOTwww [= ! rit] . 174487_182503
    MOTah non j'ai cru que t(u) allais +//. 182503_184250
  3. MOThop . 458737_459777
    MOTattention . 459777_462027
    MOT*MOT: oh: (.) c'est beau . 462027_469000
    MOTallez tu appuies ? 469000_469768
    MOTappuie ! 469768_470800

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. Tim french2.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim16a.chaTim 1;7.271,497332.00

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. beau3 · 100.0%