PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (414 utterances, 1,606 words searched).

  1. let's see . MOT · eng_USA_Brown/sarah054.cha, line 641 · Sarah 3;03
  2. let's see . GLO · eng_USA_Brown/sarah054.cha, line 645 · Sarah 3;03
  3. here # let's put some kleenex . MOT · eng_USA_Brown/sarah054.cha, line 787 · Sarah 3;03
  4. let's see how your doll is doing . GLO · eng_USA_Brown/sarah054.cha, line 954 · Sarah 3;03
  5. come over here and let's see . GLO · eng_USA_Brown/sarah054.cha, line 1239 · Sarah 3;03
  1. MOThmm ?
    CHIuhoh the(r)e's a xxx man .
    MOT*MOT: let's see .
    MOTwho's that ?
    GLOlet's see .
  2. MOTlet's see .
    MOTwho's that ?
    GLO*GLO: let's see .
    GLOwho's that ?
    GLOcan you tell ?
  3. MOTxxx she go(t) no diaper on ?
    MOTno .
    MOT*MOT: here # let's put some kleenex .
    MOToh # Momma's going to diaper the baby .
    MOTlook at that .
  4. MOToh # it is huh ?
    CHIhuh .
    GLO*GLO: let's see how your doll is doing .
    GLOdid she wet ?
    CHIuhuh .
  5. GLOcan big Sarah say what I say ?
    GLOok .
    GLO*GLO: come over here and let's see .
    GLObring them both over .
    GLObring big Sarah over and little Sarah over .

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_Brown3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah054.chaSarah 3;3.201,606553.11

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. let's5 · 100.0%