PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,908 words searched).

  1. bon alors on va lire le livre de papa . 194598_197152 MOT · french/lyon_nat27a.cha, line 338 · Nathan 2;02
  2. bon alors on y va ? MOT · french/lyon_nat27a.cha, line 1728 · Nathan 2;02
  3. bon . 1091343_1096947 MOT · french/lyon_nat27a.cha, line 1769 · Nathan 2;02
  4. c'est le bon . MOT · french/lyon_nat27a.cha, line 1850 · Nathan 2;02
  1. MOTtu veux qu'on lise le livre de papa ? 193018_194598
    CHImh .
    MOT*MOT: bon alors on va lire le livre de papa . 194598_197152
    CHIyyy mh . 197152_204902
    MOT+< attends .
  2. MOTtu veux le disque ? 1064457_1066847
    CHImh .
    MOT*MOT: bon alors on y va ?
    MOTon va dans le salon ? 1066847_1072253
    CHI‹mh [/]› mh .
  3. MOTtu veux le prendre ? 1089023_1091343
    CHImh .
    MOT*MOT: bon . 1091343_1096947
    CHImaman ? 1096947_1101310
    MOToui ?
  4. CHIyyy . 1163427_1166377
    MOTtu vois ?
    MOT*MOT: c'est le bon .
    MOTregarde (il) y a le crocodile là .
    MOTattends laisse moi prendre le disque ? 1166377_1170495

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 french2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat27a.chaNathan 2;2.231,908442.10

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. bon4 · 100.0%