PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,593 words searched).

  1. +" to Judith and Becky thanks for all your help Caroline +/. MOT · eng_british_Manchester_I/becky16a.cha, line 116 · Becky 2;05
  2. that's who Caroline works for . MOT · eng_british_Manchester_I/becky16a.cha, line 133 · Becky 2;05
  3. I don't think you have to look for a mouse actually . MOT · eng_british_Manchester_I/becky16a.cha, line 328 · Becky 2;05
  4. can you look for some cheese ? MOT · eng_british_Manchester_I/becky16a.cha, line 337 · Becky 2;05
  5. look for those mice again . MOT · eng_british_Manchester_I/becky16a.cha, line 442 · Becky 2;05
  6. shall we leave it for now ? MOT · eng_british_Manchester_I/becky16a.cha, line 654 · Becky 2;05
  7. just put it on here for now . MOT · eng_british_Manchester_I/becky16a.cha, line 732 · Becky 2;05
  8. is that one for your toe ? MOT · eng_british_Manchester_I/becky16a.cha, line 1312 · Becky 2;05
  9. do you think a bit of cellotape might be needed for that one ? MOT · eng_british_Manchester_I/becky16a.cha, line 1741 · Becky 2;05
  1. CHIdon't know .
    MOTit says +"/.
    MOT*MOT: +" to Judith and Becky thanks for all your help Caroline +/.
    INV++ and Julian .
    MOT+, and Julian .
  2. MOTJulian ?
    CHIyeah .
    MOT*MOT: that's who Caroline works for .
    CHIthat's Julian there .
    MOThmm ?
  3. CHIokay ?
    MOTwell .
    MOT*MOT: I don't think you have to look for a mouse actually .
    MOTyou +//.
    MOTit says which mouse finds cheese ?
  4. MOTit says which mouse finds cheese ?
    MOTso do you think you might look +...
    MOT*MOT: can you look for some cheese ?
    CHIyeah .
    CHIcheese .
  5. MOTshall we find where [/] where to put it ?
    CHImmhm .
    MOT*MOT: look for those mice again .
    MOTwhere are they ?
    MOTthey're there , aren't they ?
  6. MOTsorry .
    MOTwell .
    MOT*MOT: shall we leave it for now ?
    CHII get it .
    CHImum .
  7. CHIxxx .
    CHIthere .
    MOT*MOT: just put it on here for now .
    MOTwe'll open it later .
    CHIthere .
  8. CHIxxx .
    CHIput it on my toe .
    MOT*MOT: is that one for your toe ?
    CHII keep ripping it .
    MOToh .
  9. MOTyes .
    MOTI know .
    MOT*MOT: do you think a bit of cellotape might be needed for that one ?
    CHIyeah .
    MOToh no .

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_I5.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky16a.chaBecky 2;5.081,593995.65

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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