PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 2,188 words searched).

  1. two truck ? MOT · eng_USA_Brown/adam09.cha, line 1141 · Adam 2;07
  2. like a tow truck ? MOT · eng_USA_Brown/adam09.cha, line 1143 · Adam 2;07
  3. oh # your tow truck is right there ? MOT · eng_USA_Brown/adam09.cha, line 1147 · Adam 2;07
  4. what do you use your tow truck for ? MOT · eng_USA_Brown/adam09.cha, line 1150 · Adam 2;07
  5. use Alvin's tow truck ? MOT · eng_USA_Brown/adam09.cha, line 1156 · Adam 2;07
  6. I though that was Adam's tow truck . MOT · eng_USA_Brown/adam09.cha, line 1161 · Adam 2;07
  7. I [?] understood [?] fire truck . MOT · eng_USA_Brown/adam09.cha, line 2892 · Adam 2;07
  1. MOTwhat ?
    CHItow truck .
    MOT*MOT: two truck ?
    MOTlike a tow truck ?
    CHI<right dere> [//] tow truck right dere .
  2. CHItow truck .
    MOTtwo truck ?
    MOT*MOT: like a tow truck ?
    CHI<right dere> [//] tow truck right dere .
    MOToh # your tow truck is right there ?
  3. MOTlike a tow truck ?
    CHI<right dere> [//] tow truck right dere .
    MOT*MOT: oh # your tow truck is right there ?
    MOTwhat do you use your tow truck for ?
    CHIyou use it Alvin two truck .
  4. CHI<right dere> [//] tow truck right dere .
    MOToh # your tow truck is right there ?
    MOT*MOT: what do you use your tow truck for ?
    CHIyou use it Alvin two truck .
    MOTuse Alvin's tow truck ?
  5. MOTwhat do you use your tow truck for ?
    CHIyou use it Alvin two truck .
    MOT*MOT: use Alvin's tow truck ?
    CHIyeah .
    MOTI though that was Adam's tow truck .
  6. MOTuse Alvin's tow truck ?
    CHIyeah .
    MOT*MOT: I though that was Adam's tow truck .
    CHIAdam tow truck .
    CHIother one tow truck .
  7. CHIharpsichord go right dere .
    CHIdon't touch it .
    MOT*MOT: I [?] understood [?] fire truck .
    CHIfiretruck harpsichord .
    CHIdo [?] not [?] touch it # please .

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. Adam eng_USA_Brown3.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam09.chaAdam 2;7.012,188773.20

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. truck7 · 100.0%