PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,032 words searched).

  1. you won't be a princess today . MOT · eng_USA_Brown/sarah076.cha, line 110 · Sarah 3;09
  2. you be a bubble . MOT · eng_USA_Brown/sarah076.cha, line 145 · Sarah 3;09
  3. you're goin(g) to be magic . MOT · eng_USA_Brown/sarah076.cha, line 160 · Sarah 3;09
  4. you be nah . MOT · eng_USA_Brown/sarah076.cha, line 531 · Sarah 3;09
  5. you'll be mincemeat . MOT · eng_USA_Brown/sarah076.cha, line 533 · Sarah 3;09
  6. we'll be in all day today . MOT · eng_USA_Brown/sarah076.cha, line 1092 · Sarah 3;09
  7. yeah well it be color book day . MOT · eng_USA_Brown/sarah076.cha, line 1096 · Sarah 3;09
  8. won't that be fun ? MOT · eng_USA_Brown/sarah076.cha, line 1198 · Sarah 3;09
  1. CHIxxx .
    MOTalright .
    MOT*MOT: you won't be a princess today .
    CHIuh +...
    MOTwell take it out of your mouth .
  2. CHII just goin(g) make a bubble .
    MOTyou're goin(g) to have a bubble .
    MOT*MOT: you be a bubble .
    MOTcome on # come on .
    CHIit's magic .
  3. MOTwhat ?
    CHIit's magic .
    MOT*MOT: you're goin(g) to be magic .
    CHIno # you're goin(g) be magic .
    CHIxxx .
  4. MOTprobably all have the xxx before the week is over .
    CHIno # nah .
    MOT*MOT: you be nah .
    MOTyou'll be mincemeat .
    MOTwould you like that ?
  5. CHIno # nah .
    MOTyou be nah .
    MOT*MOT: you'll be mincemeat .
    MOTwould you like that ?
    CHIno .
  6. CHI(a)n(d) I [/] # I got up .
    CHIxxx .
    MOT*MOT: we'll be in all day today .
    CHIall day today # day .
    MOTyeah well it be color book day .
  7. MOTwe'll be in all day today .
    CHIall day today # day .
    MOT*MOT: yeah well it be color book day .
    MOTyou'd have a ball wouldn't you ?
    CHIyyy # you can have a ball .
  8. MOThey # hey you goin(g) to Aunt_Dot's Friday ?
    MOThmm ?
    MOT*MOT: won't that be fun ?
    CHI(a)n(d) you're goin(g) be there ?
    MOTno .

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_Brown7.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah076.chaSarah 3;9.031,032887.75

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. be8 · 100.0%