PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (546 utterances, 1,903 words searched).

  1. see if you can find some more of the donkey . MOT · eng_british_Manchester_I/becky27a.cha, line 353 · Becky 2;09
  2. a bit more +//. MOT · eng_british_Manchester_I/becky27a.cha, line 378 · Becky 2;09
  3. we need a bit more of the donkey , don't we ? MOT · eng_british_Manchester_I/becky27a.cha, line 380 · Becky 2;09
  4. perhaps if I wore my glasses more often . INV · eng_british_Manchester_I/becky27a.cha, line 944 · Becky 2;09
  5. let's do a bit more of this puzzle . MOT · eng_british_Manchester_I/becky27a.cha, line 2052 · Becky 2;09
  1. eng_british_Manchester_I/becky27a.cha, line 353 · Becky, 2;9.06
    MOTand what about that one ?
    MOTthat one goes on there as well .
    MOT*MOT: see if you can find some more of the donkey .
    CHIhere's a donkey .
    CHIand where's um the +...
  2. eng_british_Manchester_I/becky27a.cha, line 378 · Becky, 2;9.06
    MOThmm ?
    CHIum +/.
    MOT*MOT: a bit more +//.
    MOTwe need a bit more of the donkey , don't we ?
    MOTcan you see if you can find it ?
  3. eng_british_Manchester_I/becky27a.cha, line 380 · Becky, 2;9.06
    CHIum +/.
    MOTa bit more +//.
    MOT*MOT: we need a bit more of the donkey , don't we ?
    MOTcan you see if you can find it ?
    CHIum I can't .
  4. eng_british_Manchester_I/becky27a.cha, line 944 · Becky, 2;9.06
    MOTyes ?
    MOTcan you see that ?
    INV*INV: perhaps if I wore my glasses more often .
    INVsilly Caroline .
    MOTso <it's not> [/] it's not a sun+dial after all , is it ?
  5. eng_british_Manchester_I/becky27a.cha, line 2052 · Becky, 2;9.06
    INVafter you've finished your puzzle .
    MOTcome on , Becky .
    MOT*MOT: let's do a bit more of this puzzle .
    CHIMum .
    MOTright .

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_I2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky27a.chaBecky 2;9.061,903552.63

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.

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