PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. y(ou) know I never saw you with brown hair . MEL · eng_USA_Brown/sarah105.cha, line 326 · Sarah 4;04
  2. so then # lo and behold # there you were with blonde hair . MEL · eng_USA_Brown/sarah105.cha, line 339 · Sarah 4;04
  3. the hair # ok . FAT · eng_USA_Brown/sarah105.cha, line 1063 · Sarah 4;04
  4. I'll put the hair in . FAT · eng_USA_Brown/sarah105.cha, line 1113 · Sarah 4;04
  5. where do you want me to put the hair ? FAT · eng_USA_Brown/sarah105.cha, line 1115 · Sarah 4;04
  1. MELwell # she thinks of +...
    CHIshe put her dress away somewhere .
    MEL*MEL: y(ou) know I never saw you with brown hair .
    MELI think um the first time that I came # Kent called me to say that we were coming # or I guess it was a week we didn't come and he said # uh he quoted you as saying don't be too surprised <if you were a blonde the next> [//] .
    MEL+" if I'm a blonde # I'm in the dyeing mood .
  2. MELI think um the first time that I came # Kent called me to say that we were coming # or I guess it was a week we didn't come and he said # uh he quoted you as saying don't be too surprised <if you were a blonde the next> [//] .
    MEL+" if I'm a blonde # I'm in the dyeing mood .
    MEL*MEL: so then # lo and behold # there you were with blonde hair .
    MOTboy you're rough the last few days .
    MOTyeah # she's like a monster the last few days .
  3. MELthat's a good idea .
    CHIand you put the hair .
    FAT*FAT: the hair # ok .
    CHInow # uhoh .
    CHII'm makin(g) it wrong .
  4. FATthat's the mouth ?
    CHIyep .
    FAT*FAT: I'll put the hair in .
    FATwhere do you want me to put the hair ?
    CHIright here # on the head .
  5. CHIyep .
    FATI'll put the hair in .
    FAT*FAT: where do you want me to put the hair ?
    CHIright here # on the head .
    FATthat's the top of the head # huh ?

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. Sarah eng_USA_Brown3.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645553.04

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. hair5 · 100.0%