PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

7.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (417 utterances, 1,926 words searched).

  1. shall make the picture up so you can see Thomas on it ? MOT · eng_british_Manchester_II/warr01a.cha, line 991 · Warren 1;10
  2. Thomas yeah . MOT · eng_british_Manchester_II/warr01a.cha, line 1006 · Warren 1;10
  3. there's Thomas . MOT · eng_british_Manchester_II/warr01a.cha, line 1051 · Warren 1;10
  4. no I don't think it's Thomas . MOT · eng_british_Manchester_II/warr01a.cha, line 1085 · Warren 1;10
  5. yeah that's Thomas . MOT · eng_british_Manchester_II/warr01a.cha, line 1163 · Warren 1;10
  6. I don't know where Thomas's face is . MOT · eng_british_Manchester_II/warr01a.cha, line 1218 · Warren 1;10
  7. where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1221 · Warren 1;10
  8. where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1230 · Warren 1;10
  9. where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1252 · Warren 1;10
  10. that's not Thomas's face . MOT · eng_british_Manchester_II/warr01a.cha, line 1258 · Warren 1;10
  11. there's Thomas . MOT · eng_british_Manchester_II/warr01a.cha, line 1267 · Warren 1;10
  12. Thomas again right . MOT · eng_british_Manchester_II/warr01a.cha, line 1283 · Warren 1;10
  13. well who else is on the picture with Thomas ? MOT · eng_british_Manchester_II/warr01a.cha, line 1285 · Warren 1;10
  14. so where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1390 · Warren 1;10
  1. CHIFat_Controller .
    MOTyes .
    MOT*MOT: shall make the picture up so you can see Thomas on it ?
    CHIThomas .
    CHIThomas .
  2. CHIThomas .
    CHIThomas .
    MOT*MOT: Thomas yeah .
    CHIThomas .
    MOTThomas_the_Tank .
  3. MOT+, bat how I wonder what you're at .
    MOTlook .
    MOT*MOT: there's Thomas .
    CHIThomas .
    MOTwho's that ?
  4. MOTwho've we got here ?
    CHIThomas .
    MOT*MOT: no I don't think it's Thomas .
    MOTI think that's Gordon and that's Henry .
    MOTand what's that ?
  5. MOTwho's that ?
    CHIThomas .
    MOT*MOT: yeah that's Thomas .
    MOTcan you see the steam coming out of his um chimney ?
    CHIall gone .
  6. CHIwhere 0is [*] Thomas ?
    CHIwhere 0is [*] Thomas ?
    MOT*MOT: I don't know where Thomas's face is .
    MOTwhere's Thomas's face ?
    MOTyou've got +//.
  7. CHIwhere 0is [*] Thomas ?
    MOTI don't know where Thomas's face is .
    MOT*MOT: where's Thomas's face ?
    MOTyou've got +//.
    MOTwhose faces have you got here ?
  8. MOTwhose faces have you got here ?
    MOTyou've got Gordon and Henry's face .
    MOT*MOT: where's Thomas's face ?
    MOTcan't see it .
    CHIThomas .
  9. MOTthat's Clarabell .
    MOTthat's Annie .
    MOT*MOT: where's Thomas's face ?
    CHIthere .
    MOTwhere ?
  10. CHIthere .
    MOTwhere ?
    MOT*MOT: that's not Thomas's face .
    MOToh he's probably on one of these , isn't he ?
    MOTon one of these on here .
  11. MOTon one of these on here .
    MOTthere he is .
    MOT*MOT: there's Thomas .
    CHIdo it again .
    CHIagain .
  12. CHIThomas again .
    CHIThomas again .
    MOT*MOT: Thomas again right .
    MOTwell who else is on the picture with Thomas ?
    CHIum Controller .
  13. CHIThomas again .
    MOTThomas again right .
    MOT*MOT: well who else is on the picture with Thomas ?
    CHIum Controller .
    MOTyeah <the Controller> [//] the Fat_Controller is .
  14. MOTyou can't have that looking like that .
    CHIit 0has [*] gone .
    MOT*MOT: so where's Thomas's face ?
    CHIgone .
    MOTgone .

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. Warren eng_british_Manchester_II7.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr01a.chaWarren 1;10.061,92614147.27

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. thomas14 · 100.0%