PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,466 words searched).

  1. who gave it to you that +... ANN · eng_USA_Brown/sarah097.cha, line 190 · Sarah 4;02
  2. who <gave it to you that> [//] # gave you that ? MOT · eng_USA_Brown/sarah097.cha, line 192 · Sarah 4;02
  3. yeah # who did it ? MOT · eng_USA_Brown/sarah097.cha, line 196 · Sarah 4;02
  4. who's mindin(g) you this afternoon ? MOT · eng_USA_Brown/sarah097.cha, line 257 · Sarah 4;02
  5. who took care of you last night # Ann_Marie ? MOT · eng_USA_Brown/sarah097.cha, line 344 · Sarah 4;02
  6. who do you think ? GAI · eng_USA_Brown/sarah097.cha, line 1229 · Sarah 4;02
  1. eng_USA_Brown/sarah097.cha, line 190 · Sarah, 4;2.23
    MOTno .
    ANNit's a fink+test .
    ANN*ANN: who gave it to you that +...
    MOTwho <gave it to you that> [//] # gave you that ?
    ANNno # you go like this .
  2. eng_USA_Brown/sarah097.cha, line 192 · Sarah, 4;2.23
    ANNit's a fink+test .
    ANNwho gave it to you that +...
    MOT*MOT: who <gave it to you that> [//] # gave you that ?
    ANNno # you go like this .
    MOTyeah # who did it ?
  3. eng_USA_Brown/sarah097.cha, line 196 · Sarah, 4;2.23
    MOTwho <gave it to you that> [//] # gave you that ?
    ANNno # you go like this .
    MOT*MOT: yeah # who did it ?
    ANNeverybody did it # the whole school .
    MOTa fink+test .
  4. eng_USA_Brown/sarah097.cha, line 257 · Sarah, 4;2.23
    MOTdid you go over Nana's today ?
    ANNmmhm .
    MOT*MOT: who's mindin(g) you this afternoon ?
    ANNmy mother # I think .
    MOToh your mother's home today .
  5. eng_USA_Brown/sarah097.cha, line 344 · Sarah, 4;2.23
    ANNyou have to touch up here .
    ANNgo ahead # do it .
    MOT*MOT: who took care of you last night # Ann_Marie ?
    MOTLinda .
    MOTLinda ?
  6. eng_USA_Brown/sarah097.cha, line 1229 · Sarah, 4;2.23
    GAIand this is Jane # and this is Spot .
    CHIand who's that ?
    GAI*GAI: who do you think ?
    CHIthe same boy ?
    GAImmhm .

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_Brown4.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah097.chaSarah 4;2.231,466664.09

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. who6 · 100.0%