PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

6.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 956 words searched).

  1. hmm ? MOT · eng_USA_Brown/sarah089.cha, line 65 · Sarah 4;00
  2. hmm ? MEL · eng_USA_Brown/sarah089.cha, line 437 · Sarah 4;00
  3. hmm . FAT · eng_USA_Brown/sarah089.cha, line 753 · Sarah 4;00
  4. hmm ? FAT · eng_USA_Brown/sarah089.cha, line 1041 · Sarah 4;00
  5. hmm ? FAT · eng_USA_Brown/sarah089.cha, line 1061 · Sarah 4;00
  6. hmm . MOT · eng_USA_Brown/sarah089.cha, line 1250 · Sarah 4;00
  1. CHI<wait a minute> [?] .
    MOT<xxx> [<] .
    MOT*MOT: hmm ?
    CHIyyy I picks .
    FAThow would a cupcake out of that taste ?
  2. FATit's a cup for the monster .
    CHIyou have a bite .
    MEL*MEL: hmm ?
    CHInot you .
    CHInot you .
  3. CHIthis # soft # see .
    CHIthis is soft .
    FAT*FAT: hmm .
    CHIpeel # from me .
    CHIcol(d) [?] .
  4. CHII goin(g) to make another pie .
    CHIxxx .
    FAT*FAT: hmm ?
    CHItry to xxx .
    FATcan't hear a word you're saying .
  5. CHIat that end .
    CHIisn't this nice ?
    FAT*FAT: hmm ?
    CHIa nice ones .
    CHIwhere's a nice knife ?
  6. CHII'm almost through # Mom .
    CHIsee .
    MOT*MOT: hmm .
    MOTever get the message right # about last week ?
    FATxxx .

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_Brown6.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah089.chaSarah 4;0.28956666.28

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. hmm6 · 100.0%