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. how many inchs is that? MOT · downs-flusberg/kate03.cha, line 288
  2. how many inchs was it? MOT · downs-flusberg/kate03.cha, line 395
  3. how many eyes? MOT · downs-flusberg/kate03.cha, line 660
  4. how many eyes? MOT · downs-flusberg/kate03.cha, line 661
  5. how many eyes? MOT · downs-flusberg/kate03.cha, line 664
  6. how many eyes do we have? MOT · downs-flusberg/kate03.cha, line 665
  7. how many eyes are we supposed to have? MOT · downs-flusberg/kate03.cha, line 667
  8. how many eyes do you have? MOT · downs-flusberg/kate03.cha, line 669
  9. so how many eyes should the jackolantern have? MOT · downs-flusberg/kate03.cha, line 678
  1. CHImom I have to measure.
    MOTyou have to measure?
    MOT*MOT: how many inchs is that?
    CHI<one three two> [/?].
    CHIone pounds.
  2. MOT<you weigh> [/?] you weigh thirty pounds.
    MOTthat's inchs.
    MOT*MOT: how many inchs was it?
    CHI<four> [/?].
    MOTfour inchs.
  3. MOTand what are +/.
    MOTwhat's this going to be?
    MOT*MOT: how many eyes?
    MOThow many eyes?
    CHI<one> [/?].
  4. MOTwhat's this going to be?
    MOThow many eyes?
    MOT*MOT: how many eyes?
    CHI<one> [/?].
    MOThow many eyes?
  5. MOThow many eyes?
    CHI<one> [/?].
    MOT*MOT: how many eyes?
    MOThow many eyes do we have?
    CHIone eye.
  6. CHI<one> [/?].
    MOThow many eyes?
    MOT*MOT: how many eyes do we have?
    CHIone eye.
    MOThow many eyes are we supposed to have?
  7. 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> [/?].
  8. CHIone eye.
    MOThow many eyes are we supposed to have?
    MOT*MOT: how many eyes do you have?
    CHI<one, two, three> [/?].
    MOTno.
  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. many9 · 100.0%