PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (283 utterances, 1,293 words searched).

  1. that's right . MEL · eng_USA_Brown/sarah098.cha, line 308 · Sarah 4;02
  2. right . GAI · eng_USA_Brown/sarah098.cha, line 702 · Sarah 4;02
  3. that's right . MEL · eng_USA_Brown/sarah098.cha, line 811 · Sarah 4;02
  4. that's right . MOT · eng_USA_Brown/sarah098.cha, line 1009 · Sarah 4;02
  5. you're right # that's the wrong way . MOT · eng_USA_Brown/sarah098.cha, line 1132 · Sarah 4;02
  6. you know what the right way is . MEL · eng_USA_Brown/sarah098.cha, line 1137 · Sarah 4;02
  7. do you think the right way is like like that ? MEL · eng_USA_Brown/sarah098.cha, line 1139 · Sarah 4;02
  8. whyn't [: why don't] you look at the pictures and tell em right . MOT · eng_USA_Brown/sarah098.cha, line 1171 · Sarah 4;02
  1. MELyou know what that is ?
    MOTs@l .
    MEL*MEL: that's right .
    MELand what's that ?
    CHIa@l .
  2. MELit has to go the other way around .
    CHIdis is a@l w@l # like that .
    GAI*GAI: right .
    CHIdis is an n@l .
    GAIm@l .
  3. MELturn it around .
    MELno # turn the e@l around .
    MEL*MEL: that's right .
    CHIthat spells .
    MELyyy .
  4. MOTnothing !
    CHIit spells nothing ?
    MOT*MOT: that's right .
    MOTnot a thing .
    MOTjust one big mess .
  5. MOTshe's never been to the dentist .
    CHIthat's the wrong way ?
    MOT*MOT: you're right # that's the wrong way .
    CHIthis is the wrong way ?
    MELyou know what the right way is .
  6. MOTyou're right # that's the wrong way .
    CHIthis is the wrong way ?
    MEL*MEL: you know what the right way is .
    MELdo you think the right way is like like that ?
    CHIno .
  7. CHIthis is the wrong way ?
    MELyou know what the right way is .
    MEL*MEL: do you think the right way is like like that ?
    CHIno .
    CHIHarry .
  8. CHIyyy # yyy .
    CHIall the words is jam .
    MOT*MOT: whyn't [: why don't] you look at the pictures and tell em right .
    CHImmhm .
    MELwhat's happening there ?

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_Brown6.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah098.chaSarah 4;2.281,293886.19

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. right8 · 100.0%