PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.55 per 1,000 words of the child (CHI), in 1 of 1 transcripts (257 utterances, 659 words searched).

  1. nã vã pa met . CHI · french/rondal_19b.cha, line 571 · Rondal_19B 2;11
  2. ya mwa va met ya soz xxx . CHI · french/rondal_19b.cha, line 573 · Rondal_19B 2;11
  3. mwa va met . CHI · french/rondal_19b.cha, line 604 · Rondal_19B 2;11
  1. french/rondal_19b.cha, line 571 · Rondal_19B, 2;11.27
    CHIsa sa fe mal .
    MOTje vais vous tournevisser le nombril .
    CHI*CHI: nã vã pa met .
    MOTje vais vous devisser la tete .
    CHIya mwa va met ya soz xxx .
  2. french/rondal_19b.cha, line 573 · Rondal_19B, 2;11.27
    CHInã vã pa met .
    MOTje vais vous devisser la tete .
    CHI*CHI: ya mwa va met ya soz xxx .
    MOTvenez ici qu' je vous devisse la tete .
    CHInã.
  3. french/rondal_19b.cha, line 604 · Rondal_19B, 2;11.27
    CHImwa vø kas tous zoue .
    MOTt'as casse tous les jouets toi ?
    CHI*CHI: mwa va met .
    CHIxxx fe .
    MOTsi tu jettes ca a terre ca casse hein .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Rondal_19B french4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_19b.chaRondal_19B 2;11.27659334.55

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. met3 · 100.0%