PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (255 utterances, 1,054 words searched).

  1. what are you looking for ? GAI · eng_USA_Brown/sarah120.cha, line 168 · Sarah 4;08
  2. what are you lookin(g) for ? MOT · eng_USA_Brown/sarah120.cha, line 172 · Sarah 4;08
  3. use those for now . MOT · eng_USA_Brown/sarah120.cha, line 180 · Sarah 4;08
  4. those look a little bit too big for you . MEL · eng_USA_Brown/sarah120.cha, line 189 · Sarah 4;08
  5. for women too ? MEL · eng_USA_Brown/sarah120.cha, line 196 · Sarah 4;08
  6. no # n@l is for nurse . MEL · eng_USA_Brown/sarah120.cha, line 334 · Sarah 4;08
  7. you're in for a big surprise . MOT · eng_USA_Brown/sarah120.cha, line 560 · Sarah 4;08
  8. what does he have for a nose ? MEL · eng_USA_Brown/sarah120.cha, line 587 · Sarah 4;08
  1. FATanything .
    CHI0 .
    GAI*GAI: what are you looking for ?
    CHIscissors .
    MOTwhat are you lookin(g) for ?
  2. GAIwhat are you looking for ?
    CHIscissors .
    MOT*MOT: what are you lookin(g) for ?
    CHIscissors .
    MOThere .
  3. MOThere .
    MOTthose are kind o(f) big .
    MOT*MOT: use those for now .
    CHIthese are not mine .
    CHIthe little ones are mine .
  4. CHIthe little ones are mine .
    CHIover in Nana's .
    MEL*MEL: those look a little bit too big for you .
    CHII know .
    CHIthese are for women too .
  5. CHII know .
    CHIthese are for women too .
    MEL*MEL: for women too ?
    CHIbig women .
    MELbig who ?
  6. CHIhow (a)bout l@l ?
    CHInurse is for l@l # huh ?
    MEL*MEL: no # n@l is for nurse .
    CHIn@l ?
    CHIwhere's n@l ?
  7. MOTcolor ?
    CHIyeah .
    MOT*MOT: you're in for a big surprise .
    CHIwe still color .
    CHInow we color in our [?] the same school now .
  8. MELWhippy ?
    CHIthat's goin(g) be Whippy .
    MEL*MEL: what does he have for a nose ?
    CHIa carrot .
    MELoh .

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_Brown7.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.071,054887.59

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.

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