PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

4.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (623 utterances, 2,083 words searched).

  1. who else have we got ? MOT · eng_british_Manchester_II/joel22a.cha, line 522 · Joel 2;06
  2. who says beddy+byes ? MOT · eng_british_Manchester_II/joel22a.cha, line 779 · Joel 2;06
  3. who ? MOT · eng_british_Manchester_II/joel22a.cha, line 1151 · Joel 2;06
  4. who's that ? INV · eng_british_Manchester_II/joel22a.cha, line 1281 · Joel 2;06
  5. <who's there> [>] ? MOT · eng_british_Manchester_II/joel22a.cha, line 1525 · Joel 2;06
  6. who do you think Woody would like to play with ? MOT · eng_british_Manchester_II/joel22a.cha, line 1732 · Joel 2;06
  7. who did you make friends with ? MOT · eng_british_Manchester_II/joel22a.cha, line 1801 · Joel 2;06
  8. who [/] who did you do that with ? MOT · eng_british_Manchester_II/joel22a.cha, line 1807 · Joel 2;06
  9. who [/] who did you do that with ? MOT · eng_british_Manchester_II/joel22a.cha, line 1807 · Joel 2;06
  1. CHIcareful doesn't fall .
    MOTcareful .
    MOT*MOT: who else have we got ?
    CHIhe's going up there .
    MOTis he going as well ?
  2. MOThas he gone to beddy+byes ?
    CHIyeah .
    MOT*MOT: who says beddy+byes ?
    MOTyou ?
    MOTwhere did you get that from ?
  3. MOTwhat's his name ?
    CHIit's Martin .
    MOT*MOT: who ?
    CHIMartin .
    MOThis name's Martin , is it ?
  4. CHIwhoops .
    INVwhat's the matter ?
    INV*INV: who's that ?
    CHICharlie_Chalk .
    MOT<Charlie_Chalk> [>] ?
  5. INVbetter not .
    CHIknock+knock .
    MOT*MOT: <who's there> [>] ?
    CHI<who's there> [<] ?
    CHIxxx .
  6. MOTwww .
    MOTright .
    MOT*MOT: who do you think Woody would like to play with ?
    MOTthat one ?
    CHIyeah .
  7. MOTis that what you did ?
    CHIyeah .
    MOT*MOT: who did you make friends with ?
    CHIthere .
    MOTlike that ?
  8. CHIthere .
    MOTlike that ?
    MOT*MOT: who [/] who did you do that with ?
    CHIwith Caroline .
    MOToh .

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_II4.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel22a.chaJoel 2;6.122,083894.32

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%