PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (468 utterances, 1,571 words searched).

  1. what would you like him to be called ? MOT · eng_british_Manchester_I/becky13b.cha, line 112 · Becky 2;04
  2. these must be a large egg and that's a small egg . MOT · eng_british_Manchester_I/becky13b.cha, line 563 · Becky 2;04
  3. that might be . INV · eng_british_Manchester_I/becky13b.cha, line 621 · Becky 2;04
  4. if it had a cherry on top would it be a cake then ? MOT · eng_british_Manchester_I/becky13b.cha, line 911 · Becky 2;04
  5. which one do you think it should be then ? MOT · eng_british_Manchester_I/becky13b.cha, line 1301 · Becky 2;04
  6. be careful . MOT · eng_british_Manchester_I/becky13b.cha, line 1579 · Becky 2;04
  7. be careful . MOT · eng_british_Manchester_I/becky13b.cha, line 1603 · Becky 2;04
  8. but be careful . MOT · eng_british_Manchester_I/becky13b.cha, line 1609 · Becky 2;04
  1. CHIyeah .
    CHIwhat's this dog called ?
    MOT*MOT: what would you like him to be called ?
    CHIum I don't know .
    MOTyou don't know ?
  2. CHIwhat's that ?
    MOTit's a baby egg .
    MOT*MOT: these must be a large egg and that's a small egg .
    MOTthey're all in the box together .
    CHIwhere's [/] where's more ?
  3. MOTis this any smaller ?
    INVyes .
    INV*INV: that might be .
    MOTxxx is it .
    CHIthat's [/] that's too big .
  4. MOTis it a pie ?
    MOTlooks like a cake to me .
    MOT*MOT: if it had a cherry on top would it be a cake then ?
    CHIwhere's cherry on top ?
    MOTwell .
  5. MOTis that right ?
    CHIum no .
    MOT*MOT: which one do you think it should be then ?
    CHIyeah .
    MOTno .
  6. MOToh .
    CHII do it first .
    MOT*MOT: be careful .
    CHIgot nose .
    MOTI think you're gonna [: going to] smother me if you do that .
  7. CHIand your eyes .
    MOTno .
    MOT*MOT: be careful .
    CHIand your face .
    MOTyes .
  8. CHIand your face .
    MOTyes .
    MOT*MOT: but be careful .
    INVwell .
    INVcellotape it back on now .

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_I5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky13b.chaBecky 2;4.191,571885.09

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. be8 · 100.0%