PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

99.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (64 utterances, 161 words searched).

  1. where's that go ? MOT · eng_USA_Bates/gloria20.cha, line 11 · Gloria 1;10
  2. is that Gramma huh ? MOT · eng_USA_Bates/gloria20.cha, line 116 · Gloria 1;10
  3. is that Gramma ? MOT · eng_USA_Bates/gloria20.cha, line 118 · Gloria 1;10
  4. who's that ? MOT · eng_USA_Bates/gloria20.cha, line 123 · Gloria 1;10
  5. is that Marsha ? MOT · eng_USA_Bates/gloria20.cha, line 131 · Gloria 1;10
  6. who's that ? MOT · eng_USA_Bates/gloria20.cha, line 149 · Gloria 1;10
  7. no that's not Marsha . MOT · eng_USA_Bates/gloria20.cha, line 156 · Gloria 1;10
  8. is that Jill ? MOT · eng_USA_Bates/gloria20.cha, line 169 · Gloria 1;10
  9. who's that ? MOT · eng_USA_Bates/gloria20.cha, line 174 · Gloria 1;10
  10. is that Jill ? MOT · eng_USA_Bates/gloria20.cha, line 178 · Gloria 1;10
  11. I thought that was Mitsy . MOT · eng_USA_Bates/gloria20.cha, line 180 · Gloria 1;10
  12. who's that ? MOT · eng_USA_Bates/gloria20.cha, line 185 · Gloria 1;10
  13. that can be Bridget . MOT · eng_USA_Bates/gloria20.cha, line 195 · Gloria 1;10
  14. who's that ? MOT · eng_USA_Bates/gloria20.cha, line 201 · Gloria 1;10
  15. who's that ? MOT · eng_USA_Bates/gloria20.cha, line 208 · Gloria 1;10
  16. is that Brett ? MOT · eng_USA_Bates/gloria20.cha, line 210 · Gloria 1;10
  1. CHI0 .
    MOT*MOT: where's that go ?
    CHI0 .
    MOTo:h .
  2. MOT0 .
    CHIGramma .
    MOT*MOT: is that Gramma huh ?
    MOTis that Gramma ?
    CHI0 .
  3. CHIGramma .
    MOTis that Gramma huh ?
    MOT*MOT: is that Gramma ?
    CHI0 .
    MOTwho's that ?
  4. MOTis that Gramma ?
    CHI0 .
    MOT*MOT: who's that ?
    CHIyyy .
    MOTMarsha ?
  5. CHIyyy .
    MOTMarsha ?
    MOT*MOT: is that Marsha ?
    MOTok .
    CHIyyy .
  6. MOTMarsha ?
    CHI0 .
    MOT*MOT: who's that ?
    CHIyyy .
    MOTno that's not Marsha .
  7. MOTwho's that ?
    CHIyyy .
    MOT*MOT: no that's not Marsha .
    MOTthis is Marsha .
    MOTwho's this ?
  8. MOTwho's this ?
    CHIyyy .
    MOT*MOT: is that Jill ?
    CHIJill .
    MOTwho's that ?
  9. MOTis that Jill ?
    CHIJill .
    MOT*MOT: who's that ?
    CHIJill .
    MOTis that Jill ?
  10. MOTwho's that ?
    CHIJill .
    MOT*MOT: is that Jill ?
    MOTI thought that was Mitsy .
    CHI0 .
  11. CHIJill .
    MOTis that Jill ?
    MOT*MOT: I thought that was Mitsy .
    CHI0 .
    MOTwho's that ?
  12. MOTI thought that was Mitsy .
    CHI0 .
    MOT*MOT: who's that ?
    CHIyyy .
    MOTBridget ?
  13. MOTBridget ?
    MOToh ok .
    MOT*MOT: that can be Bridget .
    CHIyyy .
    MOTwho's that ?
  14. MOTthat can be Bridget .
    CHIyyy .
    MOT*MOT: who's that ?
    CHIyyy .
    MOTwho's that ?
  15. MOTwho's that ?
    CHIyyy .
    MOT*MOT: who's that ?
    MOTis that Brett ?
    CHIthat .
  16. CHIyyy .
    MOTwho's that ?
    MOT*MOT: is that Brett ?
    CHIthat .
    MOTBrett ?

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. Gloria eng_USA_Bates99.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/gloria20.chaGloria 1;10.161161699.38

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. that16 · 100.0%