PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

5.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (418 utterances, 1,587 words searched).

  1. oh we've missed one . MOT · eng_british_Manchester_I/carl15b.cha, line 79 · Carl 2;01
  2. here we go . MOT · eng_british_Manchester_I/carl15b.cha, line 276 · Carl 2;01
  3. here we go . MOT · eng_british_Manchester_I/carl15b.cha, line 278 · Carl 2;01
  4. oh we'll watch Huxley piggy later on . MOT · eng_british_Manchester_I/carl15b.cha, line 844 · Carl 2;01
  5. we've not fed the fish today , have we , Carl ? MOT · eng_british_Manchester_I/carl15b.cha, line 1153 · Carl 2;01
  6. we've not fed the fish today , have we , Carl ? MOT · eng_british_Manchester_I/carl15b.cha, line 1153 · Carl 2;01
  7. shall we get down now ? MOT · eng_british_Manchester_I/carl15b.cha, line 1282 · Carl 2;01
  8. well shall we take this paper ? MOT · eng_british_Manchester_I/carl15b.cha, line 1461 · Carl 2;01
  9. what shall we draw now ? MOT · eng_british_Manchester_I/carl15b.cha, line 1519 · Carl 2;01
  1. MOTyeah .
    MOTand what's last ?
    MOT*MOT: oh we've missed one .
    MOTno no .
    MOTtake them off again .
  2. INVokay .
    CHIdrink .
    MOT*MOT: here we go .
    MOThere we go .
    CHInana .
  3. CHIdrink .
    MOThere we go .
    MOT*MOT: here we go .
    CHInana .
    CHIand nana .
  4. MOTyou're going to have an apple ?
    CHIwant piggy on .
    MOT*MOT: oh we'll watch Huxley piggy later on .
    MOTwhat does Huxley pig say ?
    CHIoink@o .
  5. CHIThomas over .
    CHIDuncan .
    MOT*MOT: we've not fed the fish today , have we , Carl ?
    CHII don't know fishy .
    MOTyou don't know ?
  6. CHIwant to climb it .
    MOTum be careful .
    MOT*MOT: shall we get down now ?
    CHII no no I didn't .
    MOTwhoops .
  7. MOTyeah .
    MOThang on a second .
    MOT*MOT: well shall we take this paper ?
    MOTright .
    MOTMummy's got one .
  8. CHIthat Harold .
    CHIthat one .
    MOT*MOT: what shall we draw now ?
    MOTwhat're you going to draw ?
    CHIum .

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. Carl eng_british_Manchester_I5.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl15b.chaCarl 2;1.161,587895.67

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. we9 · 100.0%