PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

1.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 2,117 words searched).

  1. aha . OTH · french/rondal_38b.cha, line 148 · Rondal_38B 3;09
  2. aha . MOT · french/rondal_38b.cha, line 178 · Rondal_38B 3;09
  3. aha c'est toi qui vas les laver ? MOT · french/rondal_38b.cha, line 279 · Rondal_38B 3;09
  4. aha tu vas rincer tes ch'veux maint'nant . MOT · french/rondal_38b.cha, line 522 · Rondal_38B 3;09
  1. french/rondal_38b.cha, line 148 · Rondal_38B, 3;9.16
    OTHtu n' veux pas ?
    CHIsye va fa:ste .
    OTH*OTH: aha .
    CHIya fe boum .
    OTHil va sur la tete le bateau ?
  2. french/rondal_38b.cha, line 178 · Rondal_38B, 3;9.16
    MOTil attend .
    CHIwi .
    MOT*MOT: aha .
    CHImwa va def .
    CHIi va to kwayt .
  3. french/rondal_38b.cha, line 279 · Rondal_38B, 3;9.16
    MOTon va t'laver les ch'veux .
    CHIwi: .
    MOT*MOT: aha c'est toi qui vas les laver ?
    MOTcomment vas tu faire ?
    MOTcomme ca ?
  4. french/rondal_38b.cha, line 522 · Rondal_38B, 3;9.16
    CHIega .
    CHIse vɛ.
    MOT*MOT: aha tu vas rincer tes ch'veux maint'nant .
    CHIm: .
    MOTbien .

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_38B french1.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/rondal_38b.chaRondal_38B 3;9.162,117441.89

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. aha4 · 100.0%