PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 2,639 words searched).

  1. some eyes. MOT · downs-flusberg/kate03.cha, line 638
  2. how many eyes? MOT · downs-flusberg/kate03.cha, line 660
  3. how many eyes? MOT · downs-flusberg/kate03.cha, line 661
  4. how many eyes? MOT · downs-flusberg/kate03.cha, line 664
  5. how many eyes do we have? MOT · downs-flusberg/kate03.cha, line 665
  6. how many eyes are we supposed to have? MOT · downs-flusberg/kate03.cha, line 667
  7. how many eyes do you have? MOT · downs-flusberg/kate03.cha, line 669
  8. two eyes. MOT · downs-flusberg/kate03.cha, line 677
  9. so how many eyes should the jackolantern have? MOT · downs-flusberg/kate03.cha, line 678
  1. MOT<huh> [/?]?
    CHIsome eyes.
    MOT*MOT: some eyes.
    MOTisn't that an awful big eye?
    CHIyeah.
  2. MOTand what are +/.
    MOTwhat's this going to be?
    MOT*MOT: how many eyes?
    MOThow many eyes?
    CHI<one> [/?].
  3. MOTwhat's this going to be?
    MOThow many eyes?
    MOT*MOT: how many eyes?
    CHI<one> [/?].
    MOThow many eyes?
  4. MOThow many eyes?
    CHI<one> [/?].
    MOT*MOT: how many eyes?
    MOThow many eyes do we have?
    CHIone eye.
  5. CHI<one> [/?].
    MOThow many eyes?
    MOT*MOT: how many eyes do we have?
    CHIone eye.
    MOThow many eyes are we supposed to have?
  6. MOThow many eyes do we have?
    CHIone eye.
    MOT*MOT: how many eyes are we supposed to have?
    MOThow many eyes do you have?
    CHI<one, two, three> [/?].
  7. CHIone eye.
    MOThow many eyes are we supposed to have?
    MOT*MOT: how many eyes do you have?
    CHI<one, two, three> [/?].
    MOTno.
  8. CHI<two> [/?].
    MOT<two> [/?].
    MOT*MOT: two eyes.
    MOTso how many eyes should the jackolantern have?
    MOTtwo?
  9. MOT<two> [/?].
    MOTtwo eyes.
    MOT*MOT: so how many eyes should the jackolantern have?
    MOTtwo?
    MOTdid you make that mouth right there?

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Kate downs-flusberg3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/kate03.chaKate 2,639993.41

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. eyes9 · 100.0%