PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (239 utterances, 884 words searched).

  1. bonjour Marie . MOT · french/geneva_14.cha, line 133 · Marie 2;03
  2. bonjour madame . MOT · french/geneva_14.cha, line 835 · Marie 2;03
  3. bonjour ! MOT · french/geneva_14.cha, line 840 · Marie 2;03
  4. bonjour Marie . MOT · french/geneva_14.cha, line 849 · Marie 2;03
  1. french/geneva_14.cha, line 133 · Marie, 2;3.03
    CHIvoilà .
    CHIbonjour maman .
    MOT*MOT: bonjour Marie .
    MOToui mais (.) il faut bien fermer la bouche .
    MOTsi tu fermes pas bien +//.
  2. french/geneva_14.cha, line 835 · Marie, 2;3.03
    MOTattention .
    MOTqui voilà ?
    MOT*MOT: bonjour madame .
    CHIhi .
    MOTbonjour !
  3. french/geneva_14.cha, line 840 · Marie, 2;3.03
    MOTbonjour madame .
    CHIhi .
    MOT*MOT: bonjour !
    MOTc'est moi le raton+laveur .
    MOToh (.) qui est là ?
  4. french/geneva_14.cha, line 849 · Marie, 2;3.03
    MOToh (.) qui est là ?
    MOTc'est Marie .
    MOT*MOT: bonjour Marie .
    CHInon .
    MOTnon .

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. Marie french4.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/geneva_14.chaMarie 2;3.03884444.52

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. bonjour4 · 100.0%