PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,277 words searched).

  1. on lui fait des bras ? MOT · french/lyon_nat25a.cha, line 551 · Nathan 2;10
  2. ben tu [/] tu lui as cassé la sienne tout_à_l'heure alors écoute . MOT · french/lyon_nat25a.cha, line 864 · Nathan 2;10
  3. bon attrape lui sa tétine Jea si_il_te_plaît . MOT · french/lyon_nat25a.cha, line 1110 · Nathan 2;10
  1. MOTet voilà ! 493295_496130
    CHIyyy .
    MOT*MOT: on lui fait des bras ?
    MOThop ! 496130_497275
    MOTet un autre bras hop ! 497275_499298
  2. JEAt(u) as cassé ma tour . 1099970_1105457
    MOTNat !
    MOT*MOT: ben tu [/] tu lui as cassé la sienne tout_à_l'heure alors écoute .
    CHIwww [= ! pleure] ! 1105457_1108112
    MOTNat [/] Nat [/] Nat regarde (il) y en a une là .
  3. CHIyyy yyy . 1351653_1361560
    MOTtutu ?
    MOT*MOT: bon attrape lui sa tétine Jea si_il_te_plaît .
    MOTvoilà . 1361560_1370965
    MOTbon allez . 1370965_1374085

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 french2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat25a.chaNathan 2;10.231,277332.35

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. lui3 · 100.0%