PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (361 utterances, 1,546 words searched).

  1. going out today ? MOT · eng_USA_Brown/sarah031.cha, line 36 · Sarah 2;09
  2. <don't you want> [//] you don't want to go to dancing school today ? MOT · eng_USA_Brown/sarah031.cha, line 71 · Sarah 2;09
  3. aren't you talkin(g) today ? MOT · eng_USA_Brown/sarah031.cha, line 254 · Sarah 2;09
  4. awful quiet today # aren't you ? MOT · eng_USA_Brown/sarah031.cha, line 302 · Sarah 2;09
  5. what are we going to do with you today ? MOT · eng_USA_Brown/sarah031.cha, line 374 · Sarah 2;09
  6. I think you're being kind o(f) fresh today . MOT · eng_USA_Brown/sarah031.cha, line 1279 · Sarah 2;09
  1. eng_USA_Brown/sarah031.cha, line 36 · Sarah, 2;9.29
    CHIher curl my hair .
    COUmmhm .
    MOT*MOT: going out today ?
    MOTwhere you going ?
    CHIgo square .
  2. eng_USA_Brown/sarah031.cha, line 71 · Sarah, 2;9.29
    MOTthought you were goin(g) to dancin(g) school ?
    CHIno .
    MOT*MOT: <don't you want> [//] you don't want to go to dancing school today ?
    MOTwhy ?
    CHIwan(t) go put yyy .
  3. eng_USA_Brown/sarah031.cha, line 254 · Sarah, 2;9.29
    MOTyou've got a coat like that # haven't you .
    MOTcan't you say anything except nod your head ?
    MOT*MOT: aren't you talkin(g) today ?
    MOTd(o) you lose your tongue ?
    CHI0 .
  4. eng_USA_Brown/sarah031.cha, line 302 · Sarah, 2;9.29
    MOThe said moo@o !
    CHI0 .
    MOT*MOT: awful quiet today # aren't you ?
    MOT<what else> [/] what else happened at the circus ?
    MOTwhat'd Mummy buy there ?
  5. eng_USA_Brown/sarah031.cha, line 374 · Sarah, 2;9.29
    CHIxxx .
    MOThe what ?
    MOT*MOT: what are we going to do with you today ?
    CHIclown .
    MOTclowns ?
  6. eng_USA_Brown/sarah031.cha, line 1279 · Sarah, 2;9.29
    MOTwell # say it .
    CHIshiney yyy &n .
    MOT*MOT: I think you're being kind o(f) fresh today .
    CHIyyy &n .
    COUcan you sing Pop Goes the Weasel ?

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_Brown3.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah031.chaSarah 2;9.291,546663.88

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. today6 · 100.0%