PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (462 utterances, 1,087 words searched).

  1. bon: j(e) crois qu'on va aller faire aut(re) chose hein parc(e) que +... 445747_448675 MOT · french/lyon_tim10a.cha, line 565 · Tim 1;04
  2. j(e) vais aller faire aut(re) chose . MOT · french/lyon_tim10a.cha, line 730 · Tim 1;04
  3. tu peux y aller . 685707_687063 MOT · french/lyon_tim10a.cha, line 864 · Tim 1;04
  1. MOT&tttt [= ! désaprobation] . 441037_442222
    MOTwww [= ! souffle] . 442222_445747
    MOT*MOT: bon: j(e) crois qu'on va aller faire aut(re) chose hein parc(e) que +... 445747_448675
    MOThein ? 448675_449822
    MOTwww [= ! petits bruits] . 449822_456227
  2. MOTlaisse ça !
    MOTxxx j(e) vais arrêter .
    MOT*MOT: j(e) vais aller faire aut(re) chose .
    CHI+< xxx .
    CHIxxx xxx .
  3. MOToh , zut .
    MOT(..) voilà .
    MOT*MOT: tu peux y aller . 685707_687063
    CHIyyy . 688905_690128
    CHIwww [= ! respiration] . 690128_699303

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 french2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim10a.chaTim 1;4.211,087332.76

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. aller3 · 100.0%