PHPCLANCHILDES with regular expressions

12 matches in 10 utterances

7.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 1,634 words searched).

  1. where are they going ? MOT · eng_british_Manchester_II/warr18a.cha, line 523 · Warren 2;04
  2. they're going to park . MOT · eng_british_Manchester_II/warr18a.cha, line 534 · Warren 2;04
  3. and where are they going when they've parked the car ? MOT · eng_british_Manchester_II/warr18a.cha, line 536 · Warren 2;04
  4. and where are they going when they've parked the car ? MOT · eng_british_Manchester_II/warr18a.cha, line 536 · Warren 2;04
  5. what are they ? MOT · eng_british_Manchester_II/warr18a.cha, line 566 · Warren 2;04
  6. they're his legs . MOT · eng_british_Manchester_II/warr18a.cha, line 641 · Warren 2;04
  7. what kind of things are they eating for tea ? MOT · eng_british_Manchester_II/warr18a.cha, line 815 · Warren 2;04
  8. what are they ? MOT · eng_british_Manchester_II/warr18a.cha, line 907 · Warren 2;04
  9. they're counting deer that they've bashed over the head with their big clu… MOT · eng_british_Manchester_II/warr18a.cha, line 1007 · Warren 2;04
  10. they're counting deer that they've bashed over the head with their big clubs there . MOT · eng_british_Manchester_II/warr18a.cha, line 1007 · Warren 2;04
  11. then they're counting sheep . MOT · eng_british_Manchester_II/warr18a.cha, line 1012 · Warren 2;04
  12. what are they doing to the car ? MOT · eng_british_Manchester_II/warr18a.cha, line 1087 · Warren 2;04
  1. CHIdolly's .
    MOTis she going with him ?
    MOT*MOT: where are they going ?
    CHIwhere's that gone ?
    MOTwhere's what gone ?
  2. MOTwhat are you looking for ?
    CHIthey 0are [*] all going to park .
    MOT*MOT: they're going to park .
    MOTand where are they going when they've parked the car ?
    CHIsee that book .
  3. CHIthey 0are [*] all going to park .
    MOTthey're going to park .
    MOT*MOT: and where are they going when they've parked the car ?
    CHIsee that book .
    CHIsee that pictures minute .
  4. MOTmmhm .
    MOTwhat other kind of people can you see on there ?
    MOT*MOT: what are they ?
    MOThow many trees ?
    CHItrees .
  5. MOTit's a man on the roof of the cab .
    CHIwhat 0is [*] that ?
    MOT*MOT: they're his legs .
    CHIgot smoke .
    MOTyeah .
  6. CHIone have tea .
    MOToh yes .
    MOT*MOT: what kind of things are they eating for tea ?
    CHIxxx .
    MOToh: look at these delicious cakes .
  7. MOTit's all about time .
    CHIwhat 0are [*] those ?
    MOT*MOT: what are they ?
    MOTyou tell me .
    CHIclocks .
  8. MOTlook .
    MOThere are some people that are counting .
    MOT*MOT: they're counting deer that they've bashed over the head with their big clubs there .
    MOTthen they're counting sheep .
    CHIwhat's that ?
  9. MOThere are some people that are counting .
    MOTthey're counting deer that they've bashed over the head with their big clubs there .
    MOT*MOT: then they're counting sheep .
    CHIwhat's that ?
    CHIwhat's that ?
  10. MOToh right .
    CHIbonnet .
    MOT*MOT: what are they doing to the car ?
    MOTwhat's happening ?
    CHIputting petrol in the car .

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_II7.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr18a.chaWarren 2;4.1,63410127.34

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. they12 · 100.0%