PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,328 words searched).

  1. tu veux aller sur ton auto ? MOT · french/rondal_11a.cha, line 336 · Rondal_11A 2;09
  2. la p'tite auto ? MOT · french/rondal_11a.cha, line 476 · Rondal_11A 2;09
  3. ah tu vas conduire ton auto . MOT · french/rondal_11a.cha, line 591 · Rondal_11A 2;09
  1. french/rondal_11a.cha, line 336 · Rondal_11A, 2;9.23
    CHIva be av ava isi si ma totw aya ma .
    CHIe ?
    MOT*MOT: tu veux aller sur ton auto ?
    CHIwa fe p [!] .
    CHIva keun yay .
  2. french/rondal_11a.cha, line 476 · Rondal_11A, 2;9.23
    CHIwi .
    CHIm tit oto magaze: .
    MOT*MOT: la p'tite auto ?
    CHIme ma magafe un kouz aya ma .
    MOTfais une course toi .
  3. french/rondal_11a.cha, line 591 · Rondal_11A, 2;9.23
    CHIi fo m sa fo mee sa sa ya .
    CHIva kodi ma toto.
    MOT*MOT: ah tu vas conduire ton auto .
    CHIva sasi ma ki daba .
    MOToh comme xxx .

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_11A french2.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_11a.chaRondal_11A 2;9.231,328332.26

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. auto3 · 100.0%