PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (382 utterances, 1,689 words searched).

  1. make a muscle . MEL · eng_USA_Brown/sarah116.cha, line 422 · Sarah 4;07
  2. a muscle ? MEL · eng_USA_Brown/sarah116.cha, line 426 · Sarah 4;07
  3. do you know what a muscle is ? MEL · eng_USA_Brown/sarah116.cha, line 428 · Sarah 4;07
  4. yeah # here's your muscle . MEL · eng_USA_Brown/sarah116.cha, line 448 · Sarah 4;07
  1. eng_USA_Brown/sarah116.cha, line 422 · Sarah, 4;7.
    CHI(be)cause you're not strong # like I am .
    MELlet me see how strong you are # Sarah .
    MEL*MEL: make a muscle .
    CHIbubble ?
    MELa muscle ?
  2. eng_USA_Brown/sarah116.cha, line 426 · Sarah, 4;7.
    MELmake a muscle .
    CHIbubble ?
    MEL*MEL: a muscle ?
    MELdo you know what a muscle is ?
    MELgo like that .
  3. eng_USA_Brown/sarah116.cha, line 428 · Sarah, 4;7.
    CHIbubble ?
    MELa muscle ?
    MEL*MEL: do you know what a muscle is ?
    MELgo like that .
    CHIdo you have a muscle ?
  4. eng_USA_Brown/sarah116.cha, line 448 · Sarah, 4;7.
    CHIdo I ?
    MELsqueeze .
    MEL*MEL: yeah # here's your muscle .
    CHIfeel # Donna .
    MELsort of .

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_Brown2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah116.chaSarah 4;7.1,689442.37

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. muscle4 · 100.0%