PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (518 utterances, 1,808 words searched).

  1. who's that ? MOT · eng_british_Manchester_II/joel30a.cha, line 54 · Joel 2;09
  2. who is it ? MOT · eng_british_Manchester_II/joel30a.cha, line 58 · Joel 2;09
  3. who is it ? MOT · eng_british_Manchester_II/joel30a.cha, line 78 · Joel 2;09
  4. who is it ? MOT · eng_british_Manchester_II/joel30a.cha, line 212 · Joel 2;09
  5. who's this ? MOT · eng_british_Manchester_II/joel30a.cha, line 599 · Joel 2;09
  6. can [//] do you know who's at the door ? MOT · eng_british_Manchester_II/joel30a.cha, line 603 · Joel 2;09
  7. who's at the door ? MOT · eng_british_Manchester_II/joel30a.cha, line 605 · Joel 2;09
  8. who said ? MOT · eng_british_Manchester_II/joel30a.cha, line 1159 · Joel 2;09
  9. and who does that on the telly . MOT · eng_british_Manchester_II/joel30a.cha, line 1443 · Joel 2;09
  1. MOTwhat shall we do ?
    MOToh .
    MOT*MOT: who's that ?
    CHIthrow it at you .
    MOTwho is it ?
  2. MOTwho's that ?
    CHIthrow it at you .
    MOT*MOT: who is it ?
    CHIShaun .
    MOTit's not Shaun .
  3. CHIit is Shaun .
    MOTit's not Shaun .
    MOT*MOT: who is it ?
    CHIoh .
    CHIoh .
  4. CHIoh .
    CHIoh .
    MOT*MOT: who is it ?
    CHIhello .
    CHIhello , Kirsten .
  5. MOTlook .
    MOTwatch .
    MOT*MOT: who's this ?
    MOTmagic .
    MOTcan [//] do you know who's at the door ?
  6. MOTwho's this ?
    MOTmagic .
    MOT*MOT: can [//] do you know who's at the door ?
    MOTwho's at the door ?
    CHIoh .
  7. MOTmagic .
    MOTcan [//] do you know who's at the door ?
    MOT*MOT: who's at the door ?
    CHIoh .
    MOTwhat ?
  8. CHIit's fun , isn't it ?
    MOTis it ?
    MOT*MOT: who said ?
    INVthat's mine .
    INVoh .
  9. MOTthat goes ever so quick .
    MOTthat goes like tick^tock@o .
    MOT*MOT: and who does that on the telly .
    MOTdoes Richard do it ?
    MOThe goes doodoo@o .

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. Joel eng_british_Manchester_II4.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel30a.chaJoel 2;9.1,808994.98

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. who9 · 100.0%