PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. now then . COL · eng_USA_Brown/eve10.cha, line 578 · Eve 1;10
  2. now then . COL · eng_USA_Brown/eve10.cha, line 585 · Eve 1;10
  3. what do we do now then ? COL · eng_USA_Brown/eve10.cha, line 1913 · Eve 1;10
  4. then we'll have two . COL · eng_USA_Brown/eve10.cha, line 2693 · Eve 1;10
  5. I think you'd better finish your lunch and then # we'll go . COL · eng_USA_Brown/eve10.cha, line 3456 · Eve 1;10
  6. are you all done then ? MOT · eng_USA_Brown/eve10.cha, line 3648 · Eve 1;10
  1. CHIhi # Fraser hi .
    COLhi .
    COL*COL: now then .
    CHInow then .
    COLnow then .
  2. COLnow then .
    CHInow then .
    COL*COL: now then .
    COLare you ready ?
    CHInow ready .
  3. COLI'll get another pencil .
    CHIFraser # I have twos .
    COL*COL: what do we do now then ?
    CHIput it right there .
    COLnow # Eve .
  4. COLyes # there is another duck someplace .
    CHIanother duck .
    COL*COL: then we'll have two .
    COLtwo what ?
    COLthere's two +...
  5. 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 .
  6. MOTEve # please finish your lunch .
    CHIno .
    MOT*MOT: are you all done then ?
    CHIyeah .
    MOTokay .

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_Brown3.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve10.chaEve 1;10.1,994663.01

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. then6 · 100.0%