PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

11.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (67 utterances, 261 words searched).

  1. t'en prends encore un peu voila . MOT · french/rondal_37a.cha, line 20 · Rondal_37A 3;08
  2. voila . MOT · french/rondal_37a.cha, line 70 · Rondal_37A 3;08
  3. voila tes souliers m: ? MOT · french/rondal_37a.cha, line 103 · Rondal_37A 3;08
  1. french/rondal_37a.cha, line 20 · Rondal_37A, 3;8.12
    MOTalle ca va .
    MOTtu peus t'asseoir .
    MOT*MOT: t'en prends encore un peu voila .
    CHImesi .
    MOThappy birthsday to you .
  2. french/rondal_37a.cha, line 70 · Rondal_37A, 3;8.12
    CHImesi: a tu vwa vwa .
    CHIs e pa krɛ.
    MOT*MOT: voila .
    CHIa: dø kado mwa y em pa wɛ.
    MOTtu n' aimes pas ?
  3. french/rondal_37a.cha, line 103 · Rondal_37A, 3;8.12
    CHIa nã: .
    MOTviens ici la oui .
    MOT*MOT: voila tes souliers m: ?
    CHIm: tu va ãko œ̃ kado pou ma bersdɛ.
    MOTencore [!] ?

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_37A french11.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_37a.chaRondal_37A 3;8.122613311.49

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. voila3 · 100.0%