PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

10.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 975 words searched).

  1. now where's b@l . MOT · eng_USA_Brown/sarah066.cha, line 89 · Sarah 3;06
  2. find b@l . MOT · eng_USA_Brown/sarah066.cha, line 91 · Sarah 3;06
  3. where's b@l ? MOT · eng_USA_Brown/sarah066.cha, line 93 · Sarah 3;06
  4. no # the b@l . MOT · eng_USA_Brown/sarah066.cha, line 95 · Sarah 3;06
  5. b@l . MOT · eng_USA_Brown/sarah066.cha, line 99 · Sarah 3;06
  6. b@l . MOT · eng_USA_Brown/sarah066.cha, line 103 · Sarah 3;06
  7. a@l # b@l +... MOT · eng_USA_Brown/sarah066.cha, line 109 · Sarah 3;06
  8. a@l # go down to b@l . MOT · eng_USA_Brown/sarah066.cha, line 115 · Sarah 3;06
  9. go find the b@l . MOT · eng_USA_Brown/sarah066.cha, line 198 · Sarah 3;06
  10. where's the b@l . MOT · eng_USA_Brown/sarah066.cha, line 200 · Sarah 3;06
  1. MOTa +...
    CHIa@l +...
    MOT*MOT: now where's b@l .
    MOTfind b@l .
    MOTwhere's b@l ?
  2. CHIa@l +...
    MOTnow where's b@l .
    MOT*MOT: find b@l .
    MOTwhere's b@l ?
    MOTno # the b@l .
  3. MOTnow where's b@l .
    MOTfind b@l .
    MOT*MOT: where's b@l ?
    MOTno # the b@l .
    CHIoh .
  4. MOTfind b@l .
    MOTwhere's b@l ?
    MOT*MOT: no # the b@l .
    CHIoh .
    MOTb@l .
  5. MOTno # the b@l .
    CHIoh .
    MOT*MOT: b@l .
    MOTnot d@l .
    MOTb@l .
  6. MOTb@l .
    MOTnot d@l .
    MOT*MOT: b@l .
    MOTwith you ?
    CHIxxx .
  7. MOTwith you ?
    CHIxxx .
    MOT*MOT: a@l # b@l +...
    CHIa@l +...
    MOThere's a@l up here .
  8. CHIa@l +...
    MOThere's a@l up here .
    MOT*MOT: a@l # go down to b@l .
    MOTthere's c@l .
    MOTwhere's d@l ?
  9. MOTKent doesn't know .
    CHInext to the +...
    MOT*MOT: go find the b@l .
    MOTwhere's the b@l .
    MOTwell you have to go from one to the other .
  10. CHInext to the +...
    MOTgo find the b@l .
    MOT*MOT: where's the b@l .
    MOTwell you have to go from one to the other .
    KENtell me about school .

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. Sarah eng_USA_Brown10.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah066.chaSarah 3;6.23975101010.26

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. b10 · 100.0%