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. ha: encore . MOT · french/rondal_37a.cha, line 88 · Rondal_37A 3;08
  2. ha: . MOT · french/rondal_37a.cha, line 110 · Rondal_37A 3;08
  3. ha: boum . MOT · french/rondal_37a.cha, line 118 · Rondal_37A 3;08
  1. french/rondal_37a.cha, line 88 · Rondal_37A, 3;8.12
    MOTwelcome stephan .
    CHIa: wi mwa va met œ̃ sapɛ̃ mɛ̃nã.
    MOT*MOT: ha: encore .
    MOTxxx a leur place .
    CHIãkor si: [!] ou we .
  2. french/rondal_37a.cha, line 110 · Rondal_37A, 3;8.12
    CHIɛ̃ mamã?
    MOTatends occup .
    MOT*MOT: ha: .
    CHIɛ ma mã: [!] .
    MOTattends une minute .
  3. french/rondal_37a.cha, line 118 · Rondal_37A, 3;8.12
    CHIa: bek bɛ̃: m: .
    MOTattention sa tete .
    MOT*MOT: ha: boum .
    CHIaot: aot: .
    MOToup attention la tete de samanta .

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. ha3 · 100.0%