PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (367 utterances, 1,359 words searched).

  1. count them . MOT · eng_USA_Brown/eve03.cha, line 398 · Eve 1;07
  2. I used them . MOT · eng_USA_Brown/eve03.cha, line 479 · Eve 1;07
  3. you have them all . MOT · eng_USA_Brown/eve03.cha, line 489 · Eve 1;07
  4. you have them all . MOT · eng_USA_Brown/eve03.cha, line 558 · Eve 1;07
  5. you'll break them . MOT · eng_USA_Brown/eve03.cha, line 654 · Eve 1;07
  6. what are you gonna do with them ? MOT · eng_USA_Brown/eve03.cha, line 1564 · Eve 1;07
  7. where are you gonna put them ? MOT · eng_USA_Brown/eve03.cha, line 1573 · Eve 1;07
  8. you put them back on the table . MOT · eng_USA_Brown/eve03.cha, line 1585 · Eve 1;07
  1. MOTwhy don't you count from one ?
    MOTwhy don't you start from one ?
    MOT*MOT: count them .
    CHIone # two .
    MOTand then what ?
  2. MOTthere isn't another one .
    MOTsorry .
    MOT*MOT: I used them .
    CHI(a)nother one .
    MOTno # there isn't another one .
  3. CHI(a)nother one .
    MOTno # there isn't another one .
    MOT*MOT: you have them all .
    CHIone # two # three # go .
    CHIone # two # three # go .
  4. CHIone [/] one .
    MOTthere isn't another one # Eve .
    MOT*MOT: you have them all .
    MOTwhat are you going to do now ?
    CHIdrinking [?] juice .
  5. CHIball .
    MOThey # not so hard # please .
    MOT*MOT: you'll break them .
    MOTbe careful .
    MOTEve !
  6. MOTyou want a spoon in the napkin ?
    CHIyeah .
    MOT*MOT: what are you gonna do with them ?
    CHInapkin .
    MOTwhere are you gonna put them ?
  7. MOTwhat are you gonna do with them ?
    CHInapkin .
    MOT*MOT: where are you gonna put them ?
    CHIon a table .
    MOTalright .
  8. CHIon a table .
    MOTalright .
    MOT*MOT: you put them back on the table .
    CHIthere .
    MOTdon't write on the book .

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_Brown5.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve03.chaEve 1;7.1,359885.89

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. them8 · 100.0%