PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,508 words searched).

  1. so your thumb's on the top . MOT · eng_british_Manchester_I/gail28a.cha, line 218 · Gail 2;09
  2. turn it [//] that so it's thumb on the top . MOT · eng_british_Manchester_I/gail28a.cha, line 254 · Gail 2;09
  3. turn your hand round so you +//. MOT · eng_british_Manchester_I/gail28a.cha, line 257 · Gail 2;09
  4. so . MOT · eng_british_Manchester_I/gail28a.cha, line 498 · Gail 2;09
  5. so that you don't have any knots . MOT · eng_british_Manchester_I/gail28a.cha, line 506 · Gail 2;09
  6. they're ever so noisy road+works , aren't they today ? MOT · eng_british_Manchester_I/gail28a.cha, line 570 · Gail 2;09
  7. to make you big enough so the lady could reach your hair . MOT · eng_british_Manchester_I/gail28a.cha, line 785 · Gail 2;09
  1. MOTturn it the other way .
    MOTyour hand the other way .
    MOT*MOT: so your thumb's on the top .
    MOTlike that .
    MOTthat +//.
  2. CHIyou [/] you help me .
    MOTno .
    MOT*MOT: turn it [//] that so it's thumb on the top .
    MOTturn your hand round so you +//.
    MOTthat's it .
  3. MOTno .
    MOTturn it [//] that so it's thumb on the top .
    MOT*MOT: turn your hand round so you +//.
    MOTthat's it .
    MOTthat way .
  4. MOTthere were a bit more than two .
    MOTthere were hundreds , weren't there ?
    MOT*MOT: so .
    MOTwhat've we bought you ?
    CHIhairbrush .
  5. CHIhairbrush .
    MOTa special comb , haven't we ?
    MOT*MOT: so that you don't have any knots .
    MOThave to do it everyday .
    MOTbecause why [/] why did you have knots ?
  6. CHIxxx .
    MOToh dear .
    MOT*MOT: they're ever so noisy road+works , aren't they today ?
    MOTwhat're they doing today ?
    MOToh .
  7. MOTyeah .
    MOTlots of towels in a pile .
    MOT*MOT: to make you big enough so the lady could reach your hair .
    MOTsometimes you sit on a special big chair but they didn't have one , did they ?
    MOTor maybe somebody else was sitting on it .

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. Gail eng_british_Manchester_I4.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail28a.chaGail 2;9.041,508774.64

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. so7 · 100.0%