PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,278 words searched).

  1. quelle machine ? MOT · french/rondal_35d.cha, line 164 · Rondal_35D 3;07
  2. quelle machine de papa ? MOT · french/rondal_35d.cha, line 166 · Rondal_35D 3;07
  3. pour la machine a ecrire hein . MOT · french/rondal_35d.cha, line 174 · Rondal_35D 3;07
  1. french/rondal_35d.cha, line 164 · Rondal_35D, 3;7.22
    MOTqu' est c'que c'est ?
    CHIsa [!] s e pou ya masin: .
    MOT*MOT: quelle machine ?
    CHIya masin dɛ papa .
    MOTquelle machine de papa ?
  2. french/rondal_35d.cha, line 166 · Rondal_35D, 3;7.22
    MOTquelle machine ?
    CHIya masin dɛ papa .
    MOT*MOT: quelle machine de papa ?
    CHIsennas mamã.
    MOTcelle qui fait quoi ?
  3. french/rondal_35d.cha, line 174 · Rondal_35D, 3;7.22
    MOThein ?
    CHIpou ka ou se sa s e pou ka [!] ?
    MOT*MOT: pour la machine a ecrire hein .
    MOTpour pouvoir ecrire .
    CHImwa vø ya ouvir .

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. Rondal_35D french2.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_35d.chaRondal_35D 3;7.221,278332.35

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. machine3 · 100.0%