PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (514 utterances, 1,994 words searched).

  1. we're gonna have milk for lunch . MOT · eng_USA_Brown/eve10.cha, line 2790 · Eve 1;10
  2. have you finished all your lunch ? COL · eng_USA_Brown/eve10.cha, line 3113 · Eve 1;10
  3. turn around and finish your lunch . MOT · eng_USA_Brown/eve10.cha, line 3452 · Eve 1;10
  4. I think you'd better finish your lunch and then # we'll go . COL · eng_USA_Brown/eve10.cha, line 3456 · Eve 1;10
  5. Eve # please finish your lunch . MOT · eng_USA_Brown/eve10.cha, line 3641 · Eve 1;10
  1. CHISue # my grape juice .
    MOTyour grape juice is all gone # sweetie .
    MOT*MOT: we're gonna have milk for lunch .
    MOTwhat ?
    CHIthat # Mom ?
  2. CHIhi Cromer .
    RIChi .
    COL*COL: have you finished all your lunch ?
    CHIno .
    CHIhi # Cromer .
  3. CHIthere a napkin .
    MOTthey are napkins # yes .
    MOT*MOT: turn around and finish your lunch .
    COLI think you'd better finish your lunch and then # we'll go .
    CHItake a nap .
  4. MOTthey are napkins # yes .
    MOTturn around and finish your lunch .
    COL*COL: I think you'd better finish your lunch and then # we'll go .
    CHItake a nap .
    CHItake a nap .
  5. MOTon the shelf ?
    MOTall in a row ?
    MOT*MOT: Eve # please finish your lunch .
    CHIno .
    MOTare you all done then ?

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. Eve eng_USA_Brown2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve10.chaEve 1;10.1,994552.51

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. lunch5 · 100.0%