PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,848 words searched).

  1. here # Sarah . ANN · eng_USA_Brown/sarah125.cha, line 254 · Sarah 4;09
  2. here's the sticks # sticks sticks . ANN · eng_USA_Brown/sarah125.cha, line 567 · Sarah 4;09
  3. no # start from here . ANN · eng_USA_Brown/sarah125.cha, line 925 · Sarah 4;09
  4. …ke that same line # but you have to make it right close to the edge # here . GAI · eng_USA_Brown/sarah125.cha, line 1039 · Sarah 4;09
  5. start here and do it this way . GAI · eng_USA_Brown/sarah125.cha, line 1043 · Sarah 4;09
  6. here's a whale # Sarah . ANN · eng_USA_Brown/sarah125.cha, line 1126 · Sarah 4;09
  7. I was here by myself . MOT · eng_USA_Brown/sarah125.cha, line 1208 · Sarah 4;09
  1. ANNuh # my father .
    ANNlike that # so it won't drip .
    ANN*ANN: here # Sarah .
    CHIthis is Ann_Marie .
    MELyou'll have to talk without the popsicle in your mouth .
  2. CHIsee ?
    ANNbet cha I could make something .
    ANN*ANN: here's the sticks # sticks sticks .
    ANNsticks .
    CHIsee # dat's de # fiddlesticks .
  3. ANNgo [//] c(o)me on .
    ANNgo like that .
    ANN*ANN: no # start from here .
    ANNgo down # turn # turn .
    ANNthe old man lost his hat .
  4. CHIlike dat ?
    CHIlike dat ?
    GAI*GAI: you have to make that same line # but you have to make it right close to the edge # here .
    GAIstart here and do it this way .
    CHIoh .
  5. CHIlike dat ?
    GAIyou have to make that same line # but you have to make it right close to the edge # here .
    GAI*GAI: start here and do it this way .
    CHIoh .
    ANNoh I know .
  6. CHIthat big .
    CHIoh I can't get it right .
    ANN*ANN: here's a whale # Sarah .
    CHIxxx .
    ANNdo you want me to make another whale ?
  7. MOToh !
    MOTsomebody knocked at my door # two o'clock this mornin(g) .
    MOT*MOT: I was here by myself .
    MOT(be)cause Donny worked all night # y(ou) know ?
    MELdid you go ?

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_Brown3.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah125.chaSarah 4;9.191,848773.79

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. here7 · 100.0%