PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,469 words searched).

  1. it's the baby tiger that I can see . MOT · eng_british_Manchester_II/warr28b.cha, line 374 · Warren 2;07
  2. that's the baby cow . MOT · eng_british_Manchester_II/warr28b.cha, line 569 · Warren 2;07
  3. let's look for a baby cow . MOT · eng_british_Manchester_II/warr28b.cha, line 579 · Warren 2;07
  4. I don't know if there is a baby cow actually . MOT · eng_british_Manchester_II/warr28b.cha, line 581 · Warren 2;07
  5. is that a baby cow ? MOT · eng_british_Manchester_II/warr28b.cha, line 584 · Warren 2;07
  6. I can't find a baby cow . MOT · eng_british_Manchester_II/warr28b.cha, line 594 · Warren 2;07
  7. shall the baby tiger sit on top and just check ? MOT · eng_british_Manchester_II/warr28b.cha, line 835 · Warren 2;07
  1. MOToh no .
    MOTI can't .
    MOT*MOT: it's the baby tiger that I can see .
    MOTboth peeping in together trying to look for men .
    CHIahhah .
  2. MOTa bull is like a Daddy cow and a cow is like a Mummy cow .
    MOTand a Warren cow is a calf .
    MOT*MOT: that's the baby cow .
    MOTthe little boy cow .
    CHIthat's a baby cow .
  3. MOTno .
    MOTthat's a horse dear .
    MOT*MOT: let's look for a baby cow .
    MOTI don't know if there is a baby cow actually .
    MOTis that a baby cow ?
  4. MOTthat's a horse dear .
    MOTlet's look for a baby cow .
    MOT*MOT: I don't know if there is a baby cow actually .
    MOTis that a baby cow ?
    MOTno .
  5. MOTlet's look for a baby cow .
    MOTI don't know if there is a baby cow actually .
    MOT*MOT: is that a baby cow ?
    MOTno .
    MOTit's a sheepdog .
  6. INVclose .
    MOTnot much difference .
    MOT*MOT: I can't find a baby cow .
    MOTmaybe there isn't one .
    CHIand see another gate .
  7. MOTyou think so ?
    CHIno .
    MOT*MOT: shall the baby tiger sit on top and just check ?
    CHIoh .
    CHIcan't get up .

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. Warren eng_british_Manchester_II4.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr28b.chaWarren 2;7.121,469774.77

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. baby7 · 100.0%