PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 1,110 words searched).

  1. show her your new tablecloth . MOT · eng_USA_Brown/sarah111.cha, line 383 · Sarah 4;05
  2. get your new tablecloth . MOT · eng_USA_Brown/sarah111.cha, line 387 · Sarah 4;05
  3. y(ou) mean over this tablecloth ? MEL · eng_USA_Brown/sarah111.cha, line 1019 · Sarah 4;05
  4. instead of this tablecloth ? MEL · eng_USA_Brown/sarah111.cha, line 1025 · Sarah 4;05
  1. eng_USA_Brown/sarah111.cha, line 383 · Sarah, 4;5.29
    MOTalright # then .
    MOThow would you like to color ?
    MOT*MOT: show her your new tablecloth .
    CHI0 .
    MOTget your new tablecloth .
  2. eng_USA_Brown/sarah111.cha, line 387 · Sarah, 4;5.29
    MOTshow her your new tablecloth .
    CHI0 .
    MOT*MOT: get your new tablecloth .
    CHI<show her my new> [/] # show her my new +...
    CHII know +...
  3. eng_USA_Brown/sarah111.cha, line 1019 · Sarah, 4;5.29
    CHI<an(d)> [/] # an(d) you can put it there for thousand days .
    MOTa thousand days ?
    MEL*MEL: y(ou) mean over this tablecloth ?
    CHIhuh ?
    MELinstead of this tablecloth ?
  4. eng_USA_Brown/sarah111.cha, line 1025 · Sarah, 4;5.29
    MELy(ou) mean over this tablecloth ?
    CHIhuh ?
    MEL*MEL: instead of this tablecloth ?
    CHIyeah .
    MELwould you like +...

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_Brown3.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah111.chaSarah 4;5.291,110443.60

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. tablecloth4 · 100.0%