PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (451 utterances, 1,619 words searched).

  1. do you want me to draw you some more stars to color in ? MOT · eng_british_Manchester_I/becky34a.cha, line 85 · Becky 2;11
  2. is that more exciting ? INV · eng_british_Manchester_I/becky34a.cha, line 484 · Becky 2;11
  3. some more little people here . MOT · eng_british_Manchester_I/becky34a.cha, line 602 · Becky 2;11
  4. I was just going to make it a bit more stable at the bottom . MOT · eng_british_Manchester_I/becky34a.cha, line 1381 · Becky 2;11
  5. um I think I need a few more than that . MOT · eng_british_Manchester_I/becky34a.cha, line 1430 · Becky 2;11
  1. eng_british_Manchester_I/becky34a.cha, line 85 · Becky, 2;11.15
    MOTand you've done that one .
    CHII 0have [*] done that .
    MOT*MOT: do you want me to draw you some more stars to color in ?
    CHIyes .
    MOTyeah ?
  2. eng_british_Manchester_I/becky34a.cha, line 484 · Becky, 2;11.15
    INVwow .
    CHIand I get this .
    INV*INV: is that more exciting ?
    MOTwww .
    MOTtell Caroline what color it is .
  3. eng_british_Manchester_I/becky34a.cha, line 602 · Becky, 2;11.15
    MOTyou see if you can build a castle .
    CHIwhat are you making ?
    MOT*MOT: some more little people here .
    CHII lost those , didn't I ?
    MOTdid you ?
  4. eng_british_Manchester_I/becky34a.cha, line 1381 · Becky, 2;11.15
    CHIoh .
    MOTI'm sorry .
    MOT*MOT: I was just going to make it a bit more stable at the bottom .
    CHIlet me have a +...
    CHIlet's put this on [/] on his head .
  5. eng_british_Manchester_I/becky34a.cha, line 1430 · Becky, 2;11.15
    CHIsome for you .
    MOTthank you .
    MOT*MOT: um I think I need a few more than that .
    MOTthat doesn't look very fair to me .
    MOTthere we are .

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_I3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky34a.chaBecky 2;11.151,619553.09

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.

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