PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

8.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,821 words searched).

  1. well look for it then . MOT · eng_british_Manchester_II/warr04b.cha, line 48 · Warren 1;11
  2. you just look . MOT · eng_british_Manchester_II/warr04b.cha, line 176 · Warren 1;11
  3. look at all those animals . MOT · eng_british_Manchester_II/warr04b.cha, line 258 · Warren 1;11
  4. it does look like a pig but it's not . MOT · eng_british_Manchester_II/warr04b.cha, line 273 · Warren 1;11
  5. you look lovely . MOT · eng_british_Manchester_II/warr04b.cha, line 340 · Warren 1;11
  6. only they do look like ladders , don't they ? MOT · eng_british_Manchester_II/warr04b.cha, line 388 · Warren 1;11
  7. look . MOT · eng_british_Manchester_II/warr04b.cha, line 434 · Warren 1;11
  8. look behind you . MOT · eng_british_Manchester_II/warr04b.cha, line 593 · Warren 1;11
  9. look . MOT · eng_british_Manchester_II/warr04b.cha, line 804 · Warren 1;11
  10. look at those rings . MOT · eng_british_Manchester_II/warr04b.cha, line 806 · Warren 1;11
  11. look . MOT · eng_british_Manchester_II/warr04b.cha, line 841 · Warren 1;11
  12. look at that big gap . MOT · eng_british_Manchester_II/warr04b.cha, line 944 · Warren 1;11
  13. look at them . MOT · eng_british_Manchester_II/warr04b.cha, line 960 · Warren 1;11
  14. look . MOT · eng_british_Manchester_II/warr04b.cha, line 980 · Warren 1;11
  15. look at these dots . MOT · eng_british_Manchester_II/warr04b.cha, line 1098 · Warren 1;11
  16. look . MOT · eng_british_Manchester_II/warr04b.cha, line 1191 · Warren 1;11
  1. CHII want tiger .
    CHII want tiger .
    MOT*MOT: well look for it then .
    MOTyou find it .
    MOTit'll still be there I'm sure .
  2. CHIanother one .
    MOTthere are plenty of other ones .
    MOT*MOT: you just look .
    MOTI'm not going to find them for you .
    CHIanother one .
  3. MOTmmhm .
    MOTwhy isn't that stuck on ?
    MOT*MOT: look at all those animals .
    MOTshall we stick the monkey on as well ?
    MOTwe've got all the animals stuck on .
  4. MOTdo you know what that is ?
    CHIa pig .
    MOT*MOT: it does look like a pig but it's not .
    MOTit's a hippo .
    CHIhippo .
  5. MOTI don't think it's Warren's hat .
    MOTI think it's Anna's hat .
    MOT*MOT: you look lovely .
    MOTthat's a builder's hat , isn't it ?
    MOTthe men over the road wear hats like that .
  6. MOTthese aren't actually ladders .
    MOTthese are fence posts .
    MOT*MOT: only they do look like ladders , don't they ?
    MOTthese are to stop the animals escaping from the zoo .
    MOTwe don't want wild animals roaming about the streets , do we ?
  7. MOTright .
    MOTif you want to take her dungarees off .
    MOT*MOT: look .
    MOTwhich dress shall we put on ?
    MOTshall we put on the blue dress or the red dress ?
  8. MOTthe doll's behind you .
    MOTjust where you put her .
    MOT*MOT: look behind you .
    MOTthere she is .
    CHII want off .
  9. MOThave you done that right ?
    CHIthere .
    MOT*MOT: look .
    MOTlook at those rings .
    MOTis that how they should be ?
  10. CHIthere .
    MOTlook .
    MOT*MOT: look at those rings .
    MOTis that how they should be ?
    CHII want another one .
  11. MOTno .
    MOTthat's too small .
    MOT*MOT: look .
    MOTit doesn't go all the way down to the bottom .
    MOTthat one goes on first because it's the smallest .
  12. CHIblue one .
    MOTI think you've gone wrong somewhere .
    MOT*MOT: look at that big gap .
    MOTshall we take these off ?
    MOTwhich one comes next ?
  13. MOTno .
    MOTthat's not +//.
    MOT*MOT: look at them .
    MOTwhich is the biggest one ?
    MOTwhich is the big one ?
  14. MOTtoo small .
    MOTtoo small .
    MOT*MOT: look .
    MOTeven smaller .
    MOTeven smaller .
  15. CHII want tip out .
    MOTshall we find some +//.
    MOT*MOT: look at these dots .
    CHIdot .
    MOTand these creatures .
  16. MOTare you putting them back in the box ?
    MOTthere's another one .
    MOT*MOT: look .
    MOTthat's got the Fat_Controller on .
    CHIthere man .

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_II8.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr04b.chaWarren 1;11.041,82116168.79

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. look16 · 100.0%