PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

15.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (189 utterances, 571 words searched).

  1. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 520 · Sarah 2;05
  2. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 688 · Sarah 2;05
  3. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 844 · Sarah 2;05
  4. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 1068 · Sarah 2;05
  5. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 1093 · Sarah 2;05
  6. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 1182 · Sarah 2;05
  7. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 1201 · Sarah 2;05
  8. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 1216 · Sarah 2;05
  9. hmm ? MOT · eng_USA_Brown/sarah015.cha, line 1264 · Sarah 2;05
  1. CHII ride horsie .
    CHI(hor)sie .
    MOT*MOT: hmm ?
    CHIyyy .
    CHIMichael xxx .
  2. CHII ride train .
    CHII ride train Mommy ?
    MOT*MOT: hmm ?
    CHII ride train .
    MOTyeah .
  3. MOTdon't do that .
    CHIxxx .
    MOT*MOT: hmm ?
    CHIbounce this [?] .
    MOTno # you can't bounce that .
  4. CHIboy .
    CHIboy phone .
    MOT*MOT: hmm ?
    CHIboy phone .
    MOTxxx .
  5. CHIball .
    CHIyyy ?
    MOT*MOT: hmm ?
    CHIball ?
    CHIyyy ?
  6. MOTyeah .
    MOTdo you like hammers ?
    MOT*MOT: hmm ?
    CHIyyy ?
    MOTwhat's what ?
  7. MOTyou've got a bell like that # haven't you ?
    CHI<yeah> [?] .
    MOT*MOT: hmm ?
    CHI0 .
    MOTSanta_Claus .
  8. MOTdo you like Santa_Claus ?
    CHISanta_Claus .
    MOT*MOT: hmm ?
    CHITickle .
    MOTxxx # yeah # Santa_Claus brought you Tickles # yeah .
  9. CHIyyy up yyy ?
    CHIdo(ll)y ?
    MOT*MOT: hmm ?
    CHIhe up xxx Santa_Claus .
    CHIyyy Santa_Claus .

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_Brown15.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah015.chaSarah 2;5.305719915.76

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. hmm9 · 100.0%