PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

6.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (322 utterances, 1,312 words searched).

  1. right okay . MOT · eng_british_Manchester_II/john04b.cha, line 69 · John 2;00
  2. yeah all right . MOT · eng_british_Manchester_II/john04b.cha, line 80 · John 2;00
  3. yes that's right . MOT · eng_british_Manchester_II/john04b.cha, line 104 · John 2;00
  4. that's right . MOT · eng_british_Manchester_II/john04b.cha, line 327 · John 2;00
  5. that's right . MOT · eng_british_Manchester_II/john04b.cha, line 524 · John 2;00
  6. that's right . MOT · eng_british_Manchester_II/john04b.cha, line 720 · John 2;00
  7. that's right . MOT · eng_british_Manchester_II/john04b.cha, line 798 · John 2;00
  8. that's right . MOT · eng_british_Manchester_II/john04b.cha, line 818 · John 2;00
  9. that's right . MOT · eng_british_Manchester_II/john04b.cha, line 920 · John 2;00
  1. CHIfor Mummy .
    MOToh it's for me .
    MOT*MOT: right okay .
    CHIMummy .
    MOTI'll keep it on my lap then .
  2. MOTit's an aubergine .
    CHIpop .
    MOT*MOT: yeah all right .
    MOTit looks like a lollipop .
    MOTthank you .
  3. MOToh: what's that , John ?
    CHIsizzle .
    MOT*MOT: yes that's right .
    CHIsizzle .
    MOTsizzle .
  4. MOTwhat [/] what's in there ?
    CHIyellow pears .
    MOT*MOT: that's right .
    CHIit orange .
    MOTorange .
  5. CHIoh a blanket .
    CHIblanket .
    MOT*MOT: that's right .
    MOTwe used them as blankets , didn't we last week ?
    MOTthere's some more clothes in there .
  6. MOTmmhm .
    MOTgood .
    MOT*MOT: that's right .
    MOTkeep the dolly warm .
    CHIget small blanket .
  7. CHIyeah .
    MOTgood .
    MOT*MOT: that's right .
    MOTnow put the doll in .
    CHIbig doll .
  8. MOTand the other one .
    MOTwell done .
    MOT*MOT: that's right .
    MOTgood .
    MOTpull it up over her body .
  9. MOTlovely .
    CHIbig one .
    MOT*MOT: that's right .
    MOTit's a big one , isn't it ?
    MOTwe saw the workman wearing a big yellow hat , didn't we yesterday .

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. John eng_british_Manchester_II6.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john04b.chaJohn 2;0.181,312996.86

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. right9 · 100.0%