PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 843 words searched).

  1. je vais te dessiner petit+rond . MOT · french/lyon_nat22b.cha, line 298 · Nathan 2;05
  2. tu sais dessiner un avion mon Nanou ? MOT · french/lyon_nat22b.cha, line 713 · Nathan 2;05
  3. et tu saurais dessiner un train ? MOT · french/lyon_nat22b.cha, line 854 · Nathan 2;05
  1. MOTpetit+rond . 395845_399060
    MOTregarde moi !
    MOT*MOT: je vais te dessiner petit+rond .
    MOTregarde moi !
    MOTj(e) te dessine petit+rond . 399060_401945
  2. CHIyyy . 1025890_1032057
    MOTet un avion ?
    MOT*MOT: tu sais dessiner un avion mon Nanou ?
    CHIyyy . 1032057_1038443
    MOTun avion . 1038443_1053335
  3. MOTc'est un avion ? 1283175_1284170
    CHImhm . 1284170_1290853
    MOT*MOT: et tu saurais dessiner un train ?
    MOTNanou . 1290853_1291965
    MOTun train . 1291965_1294070

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 french3.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22b.chaNathan 2;5.18843333.56

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. dessiner3 · 100.0%