PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (618 utterances, 2,080 words searched).

  1. there they are , look . MOT · eng_british_Manchester_I/becky03a.cha, line 394 · Becky 2;00
  2. look . MOT · eng_british_Manchester_I/becky03a.cha, line 600 · Becky 2;00
  3. have a peep through there , look . MOT · eng_british_Manchester_I/becky03a.cha, line 906 · Becky 2;00
  4. be careful , look . MOT · eng_british_Manchester_I/becky03a.cha, line 1165 · Becky 2;00
  5. here it is , look . MOT · eng_british_Manchester_I/becky03a.cha, line 1246 · Becky 2;00
  6. look ? MOT · eng_british_Manchester_I/becky03a.cha, line 1568 · Becky 2;00
  7. look ? MOT · eng_british_Manchester_I/becky03a.cha, line 1574 · Becky 2;00
  8. shall we have another one now , look . MOT · eng_british_Manchester_I/becky03a.cha, line 1810 · Becky 2;00
  9. and what's this here , look ? MOT · eng_british_Manchester_I/becky03a.cha, line 1942 · Becky 2;00
  1. CHIyeah .
    MOTare you going to put her socks on now then xxx .
    MOT*MOT: there they are , look .
    CHIsocks .
    INVoh: .
  2. MOTput the xxx in there first .
    MOTgoing to put her in then ?
    MOT*MOT: look .
    MOTwhere's her quilt gone ?
    MOTxxx [>] .
  3. MOTBecky .
    MOTBecky .
    MOT*MOT: have a peep through there , look .
    MOToh .
    MOTcan you peep through there ?
  4. CHIxxx .
    MOToh no .
    MOT*MOT: be careful , look .
    MOTnearly got coffee then .
    MOTdidn't you ?
  5. MOTI think Mummy's already colored that one , Becky .
    MOToh .
    MOT*MOT: here it is , look .
    CHIxxx .
    MOTare you going to draw some of Noddy ?
  6. CHIlook .
    CHI&a look .
    MOT*MOT: look ?
    CHIlook .
    CHIlook .
  7. CHIlook .
    CHIlook .
    MOT*MOT: look ?
    MOTwhat is it ?
    CHIa rainbow .
  8. CHIxxx .
    MOTthere you are .
    MOT*MOT: shall we have another one now , look .
    MOTthere you are .
    INVwww .
  9. MOTthat's a tree , isn't it ?
    CHIxxx .
    MOT*MOT: and what's this here , look ?
    CHIxxx .
    MOTit's a fence .

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. Becky eng_british_Manchester_I4.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03a.chaBecky 2;0.282,080994.33

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. look9 · 100.0%