PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (164 utterances, 790 words searched).

  1. j(e) vais t(e) le couper Nanou . MOT · french/lyon_nat25b.cha, line 69 · Nathan 2;10
  2. et j(e) vais l(e) couper . 129650_131508 MOT · french/lyon_nat25b.cha, line 74 · Nathan 2;10
  1. FATtu manges un peu . 124843_125772
    MOTpas avec les doigts . 125772_128657
    MOT*MOT: j(e) vais t(e) le couper Nanou .
    MOTpose le . 128657_129650
    MOTet j(e) vais l(e) couper . 129650_131508
  2. MOTj(e) vais t(e) le couper Nanou .
    MOTpose le . 128657_129650
    MOT*MOT: et j(e) vais l(e) couper . 129650_131508
    MOTnon mais t'essuie pas sur ton pyjama ! 131508_134312
    MOTbon tu peux lui attraper une serviette si_il_te_plaît . 134312_137333

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 french2.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25b.chaNathan 2;10.23790222.53

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. couper2 · 100.0%