PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. I don't know where Thomas's face is . MOT · eng_british_Manchester_II/warr01a.cha, line 1218 · Warren 1;10
  2. where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1221 · Warren 1;10
  3. where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1230 · Warren 1;10
  4. where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1252 · Warren 1;10
  5. that's not Thomas's face . MOT · eng_british_Manchester_II/warr01a.cha, line 1258 · Warren 1;10
  6. so where's Thomas's face ? MOT · eng_british_Manchester_II/warr01a.cha, line 1390 · Warren 1;10
  1. eng_british_Manchester_II/warr01a.cha, line 1218 · Warren, 1;10.06
    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 +//.
  2. eng_british_Manchester_II/warr01a.cha, line 1221 · Warren, 1;10.06
    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 ?
  3. eng_british_Manchester_II/warr01a.cha, line 1230 · Warren, 1;10.06
    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 .
  4. eng_british_Manchester_II/warr01a.cha, line 1252 · Warren, 1;10.06
    MOTthat's Clarabell .
    MOTthat's Annie .
    MOT*MOT: where's Thomas's face ?
    CHIthere .
    MOTwhere ?
  5. eng_british_Manchester_II/warr01a.cha, line 1258 · Warren, 1;10.06
    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 .
  6. eng_british_Manchester_II/warr01a.cha, line 1390 · Warren, 1;10.06
    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_II3.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr01a.chaWarren 1;10.061,926663.12

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. thomas's6 · 100.0%