PHPCLANCHILDES with regular expressions

15 matches in 13 utterances

8.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (470 utterances, 1,782 words searched).

  1. of course he's a panda bear . MOT · eng_british_Manchester_II/warr05b.cha, line 31 · Warren 1;11
  2. out of your mouth . MOT · eng_british_Manchester_II/warr05b.cha, line 204 · Warren 1;11
  3. a tin of spaghetti . MOT · eng_british_Manchester_II/warr05b.cha, line 312 · Warren 1;11
  4. can you find another piece of peach ? MOT · eng_british_Manchester_II/warr05b.cha, line 355 · Warren 1;11
  5. that's from the top of a tin . MOT · eng_british_Manchester_II/warr05b.cha, line 502 · Warren 1;11
  6. out of your mouth . MOT · eng_british_Manchester_II/warr05b.cha, line 752 · Warren 1;11
  7. just don't get used to this sort of book . MOT · eng_british_Manchester_II/warr05b.cha, line 887 · Warren 1;11
  8. it's a bit of long story . MOT · eng_british_Manchester_II/warr05b.cha, line 1099 · Warren 1;11
  9. well there's not much of the story to read , is there ? MOT · eng_british_Manchester_II/warr05b.cha, line 1215 · Warren 1;11
  10. can you think of a gooder [*] way of getting the tractor out of the pond ? MOT · eng_british_Manchester_II/warr05b.cha, line 1222 · Warren 1;11
  11. can you think of a gooder [*] way of getting the tractor out of the pond ? MOT · eng_british_Manchester_II/warr05b.cha, line 1222 · Warren 1;11
  12. can you think of a gooder [*] way of getting the tractor out of the pond ? MOT · eng_british_Manchester_II/warr05b.cha, line 1222 · Warren 1;11
  13. yes of course you can come on my knee . MOT · eng_british_Manchester_II/warr05b.cha, line 1230 · Warren 1;11
  14. it's not very exciting given that there's four pages out of quite a long book . MOT · eng_british_Manchester_II/warr05b.cha, line 1262 · Warren 1;11
  15. what kind of sock ? MOT · eng_british_Manchester_II/warr05b.cha, line 1485 · Warren 1;11
  1. MOThe's got no clothes on .
    MOThe's all bare .
    MOT*MOT: of course he's a panda bear .
    CHIhe cry .
    MOTis he crying ?
  2. MOTknow what that is ?
    MOTno .
    MOT*MOT: out of your mouth .
    MOTthat's an aubergine .
    CHImatter that one .
  3. MOTwhat else have we got ?
    MOTlook .
    MOT*MOT: a tin of spaghetti .
    MOTand <what's in> [/] what's in this tin , Warren, ?
    CHIbeans .
  4. MOTthat's peach .
    CHImy peach .
    MOT*MOT: can you find another piece of peach ?
    MOTthere's one piece here .
    MOTcan you find another piece ?
  5. MOTlook at all this food .
    CHIoh look .
    MOT*MOT: that's from the top of a tin .
    MOTthat goes in there .
    MOTother way up .
  6. CHIthat one .
    MOTthey're grapes .
    MOT*MOT: out of your mouth .
    CHIpanda 0is [*] crying .
    MOToh is he ?
  7. CHIMummy .
    CHIWarren come on knee .
    MOT*MOT: just don't get used to this sort of book .
    MOTwe won't [: willn't] have any more Disney books .
    MOTit's not very exciting just flicking over it like that .
  8. CHIthat one .
    MOTokay .
    MOT*MOT: it's a bit of long story .
    MOTI think we'll have it cut down .
    MOTwhat's that ?
  9. CHIin car the steam .
    CHIMummy read it .
    MOT*MOT: well there's not much of the story to read , is there ?
    MOTwww .
    MOTcan you think of a gooder [*] way of getting the tractor out of the pond ?
  10. MOTwell there's not much of the story to read , is there ?
    MOTwww .
    MOT*MOT: can you think of a gooder [*] way of getting the tractor out of the pond ?
    CHIget it .
    CHIcome on knee ?
  11. CHIget it .
    CHIcome on knee ?
    MOT*MOT: yes of course you can come on my knee .
    MOTwhere [//] how are they going to get the tractor out ?
    CHIhen .
  12. MOTwell I've just read it .
    MOTI'm not going to read it to you again .
    MOT*MOT: it's not very exciting given that there's four pages out of quite a long book .
    CHIMummy read it .
    MOTWarren read it .
  13. MOTwhose sock ?
    CHIWarren [*] sock .
    MOT*MOT: what kind of sock ?
    MOTis it cheesy ?
    CHIcheesy .

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_II8.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05b.chaWarren 1;11.261,78213158.42

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.

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