PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. let's see if it writes your name . MEL · eng_USA_Brown/sarah109.cha, line 175 · Sarah 4;05
  2. here # let's write it here . MEL · eng_USA_Brown/sarah109.cha, line 178 · Sarah 4;05
  3. let's see you write it now . MEL · eng_USA_Brown/sarah109.cha, line 219 · Sarah 4;05
  4. let's see it # Sarah . MEL · eng_USA_Brown/sarah109.cha, line 1173 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 175 · Sarah, 4;5.14
    CHIyou really need a pen ?
    MELI really need a pen .
    MEL*MEL: let's see if it writes your name .
    MELhere # let's write it here .
    CHIyou can't write it good .
  2. eng_USA_Brown/sarah109.cha, line 178 · Sarah, 4;5.14
    MELI really need a pen .
    MELlet's see if it writes your name .
    MEL*MEL: here # let's write it here .
    CHIyou can't write it good .
    MELcan you read that ?
  3. eng_USA_Brown/sarah109.cha, line 219 · Sarah, 4;5.14
    CHIspells # my name .
    MELthat's right .
    MEL*MEL: let's see you write it now .
    CHII can write it .
    CHIwhich end ?
  4. eng_USA_Brown/sarah109.cha, line 1173 · Sarah, 4;5.14
    CHIsee ?
    CHIwanna put some on ?
    MEL*MEL: let's see it # Sarah .
    MOT<my brother_in_law> [//] <I didn't> [//] did you see the vanity set ?
    GAIyes .

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_Brown2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363442.93

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's4 · 100.0%