PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (321 utterances, 1,034 words searched).

  1. you like jelly ? MOT · eng_USA_Brown/sarah006.cha, line 588 · Sarah 2;03
  2. you like apple ? MOT · eng_USA_Brown/sarah006.cha, line 624 · Sarah 2;03
  3. you like ice+cream # too ? MOT · eng_USA_Brown/sarah006.cha, line 654 · Sarah 2;03
  4. just like your horsie # huh . MOT · eng_USA_Brown/sarah006.cha, line 876 · Sarah 2;03
  5. you got a horsie like that . MOT · eng_USA_Brown/sarah006.cha, line 878 · Sarah 2;03
  6. yeah # you like that horsie ? MOT · eng_USA_Brown/sarah006.cha, line 926 · Sarah 2;03
  7. you like that horsie ? MOT · eng_USA_Brown/sarah006.cha, line 959 · Sarah 2;03
  8. yeah # it's like <Nana's> [/] Nana's doggie's little # huh . MOT · eng_USA_Brown/sarah006.cha, line 1052 · Sarah 2;03
  1. MOTjelly ?
    CHII like je(ll)y .
    MOT*MOT: you like jelly ?
    CHIxxx .
    MOTmeat .
  2. MOTxxx .
    CHIapple .
    MOT*MOT: you like apple ?
    CHIxxx ?
    MOTthat's a potato .
  3. MOTice+cream .
    CHII like (ice)+cream too .
    MOT*MOT: you like ice+cream # too ?
    CHIxxx .
    CHIcold .
  4. MOTthat's the horsie # yeah .
    CHIxxx .
    MOT*MOT: just like your horsie # huh .
    MOTyou got a horsie like that .
    CHIxxx .
  5. CHIxxx .
    MOTjust like your horsie # huh .
    MOT*MOT: you got a horsie like that .
    CHIxxx .
    MOThmm ?
  6. CHIxxx horsie gone .
    CHIxxx horsie .
    MOT*MOT: yeah # you like that horsie ?
    CHIaah .
    MOTwhat ?
  7. MOTthe horsie off .
    CHIxxx horsie .
    MOT*MOT: you like that horsie ?
    MOTwhere's your horsie ?
    CHImy horsie in dere .
  8. CHIhere bobiy@c xxx ?
    CHIxxx Nana xxx ?
    MOT*MOT: yeah # it's like <Nana's> [/] Nana's doggie's little # huh .
    MOTInky .
    MOTInkie's a little doggie and Sheeba's a big doggie .

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_Brown7.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah006.chaSarah 2;3.281,034887.74

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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