PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

7.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. we'll have to call up Auntie_Marilyn and get this straight # huh . MOT · eng_USA_Brown/sarah028.cha, line 288 · Sarah 2;09
  2. I guess we will . MOT · eng_USA_Brown/sarah028.cha, line 293 · Sarah 2;09
  3. we'll buy some when we go to the square tomorrow . MOT · eng_USA_Brown/sarah028.cha, line 342 · Sarah 2;09
  4. we'll buy some when we go to the square tomorrow . MOT · eng_USA_Brown/sarah028.cha, line 342 · Sarah 2;09
  5. and we'll buy pencils too . MOT · eng_USA_Brown/sarah028.cha, line 354 · Sarah 2;09
  6. I think we have a problem . MOT · eng_USA_Brown/sarah028.cha, line 400 · Sarah 2;09
  7. we haven't got any . MOT · eng_USA_Brown/sarah028.cha, line 589 · Sarah 2;09
  8. <you don't> [//] we only write on pen [//] on paper . MOT · eng_USA_Brown/sarah028.cha, line 786 · Sarah 2;09
  9. <we don't write on any> [//] <no # no> [/] # no . MOT · eng_USA_Brown/sarah028.cha, line 788 · Sarah 2;09
  1. eng_USA_Brown/sarah028.cha, line 288 · Sarah, 2;9.06
    CHIDawson ?
    CHII make Dawson ?
    MOT*MOT: we'll have to call up Auntie_Marilyn and get this straight # huh .
    CHImmhm .
    MOTI guess we will .
  2. eng_USA_Brown/sarah028.cha, line 293 · Sarah, 2;9.06
    MOTwe'll have to call up Auntie_Marilyn and get this straight # huh .
    CHImmhm .
    MOT*MOT: I guess we will .
    CHIyeah .
    CHIwhoop !
  3. eng_USA_Brown/sarah028.cha, line 342 · Sarah, 2;9.06
    CHIyou got any ?
    MOTno .
    MOT*MOT: we'll buy some when we go to the square tomorrow .
    MOTok ?
    CHIsquare ?
  4. eng_USA_Brown/sarah028.cha, line 354 · Sarah, 2;9.06
    MOTyeah .
    CHIxxx pencil ?
    MOT*MOT: and we'll buy pencils too .
    CHItoo ?
    MOTwould you like that ?
  5. eng_USA_Brown/sarah028.cha, line 400 · Sarah, 2;9.06
    MOTyour books are in your room .
    CHIno .
    MOT*MOT: I think we have a problem .
    MOTtell me # what's the matter .
    CHIbig book .
  6. eng_USA_Brown/sarah028.cha, line 589 · Sarah, 2;9.06
    CHIoh # black .
    CHII write c(r)a(yon) .
    MOT*MOT: we haven't got any .
    CHI(have)n't got any ?
    MOTno .
  7. eng_USA_Brown/sarah028.cha, line 786 · Sarah, 2;9.06
    MOTI don't want you to write on that .
    MOTthat's your microphone .
    MOT*MOT: <you don't> [//] we only write on pen [//] on paper .
    MOT<we don't write on any> [//] <no # no> [/] # no .
    MOTdon't write on that .
  8. eng_USA_Brown/sarah028.cha, line 788 · Sarah, 2;9.06
    MOTthat's your microphone .
    MOT<you don't> [//] we only write on pen [//] on paper .
    MOT*MOT: <we don't write on any> [//] <no # no> [/] # no .
    MOTdon't write on that .
    MOTyou write on this .

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_Brown7.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149897.83

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. we9 · 100.0%