PHPCLANCHILDES with regular expressions

17 matches in 16 utterances

10.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (472 utterances, 1,553 words searched).

  1. there we go . MOT · eng_british_Manchester_I/domin03b.cha, line 40 · Dominic 1;11
  2. let's see what we can do . MOT · eng_british_Manchester_I/domin03b.cha, line 120 · Dominic 1;11
  3. shall we put it like that ? MOT · eng_british_Manchester_I/domin03b.cha, line 122 · Dominic 1;11
  4. see if we start +//. MOT · eng_british_Manchester_I/domin03b.cha, line 278 · Dominic 1;11
  5. can we do it ? MOT · eng_british_Manchester_I/domin03b.cha, line 412 · Dominic 1;11
  6. we'll say it's a horse for the sake of argument . MOT · eng_british_Manchester_I/domin03b.cha, line 639 · Dominic 1;11
  7. see what we've got . MOT · eng_british_Manchester_I/domin03b.cha, line 888 · Dominic 1;11
  8. shall we tip it out ? MOT · eng_british_Manchester_I/domin03b.cha, line 937 · Dominic 1;11
  9. can we make a burger ? MOT · eng_british_Manchester_I/domin03b.cha, line 1033 · Dominic 1;11
  10. now we need this bit . MOT · eng_british_Manchester_I/domin03b.cha, line 1055 · Dominic 1;11
  11. got the cheese in , haven't we ? MOT · eng_british_Manchester_I/domin03b.cha, line 1065 · Dominic 1;11
  12. let's see if we can make it into a reasonable looking train . MOT · eng_british_Manchester_I/domin03b.cha, line 1571 · Dominic 1;11
  13. now we need +//. MOT · eng_british_Manchester_I/domin03b.cha, line 1574 · Dominic 1;11
  14. there we go . MOT · eng_british_Manchester_I/domin03b.cha, line 1614 · Dominic 1;11
  15. there we go . MOT · eng_british_Manchester_I/domin03b.cha, line 1626 · Dominic 1;11
  16. we'll turn the elephant round , shall we ? MOT · eng_british_Manchester_I/domin03b.cha, line 1690 · Dominic 1;11
  17. we'll turn the elephant round , shall we ? MOT · eng_british_Manchester_I/domin03b.cha, line 1690 · Dominic 1;11
  1. MOTI don't think he really belongs in there , sweetheart .
    MOTI'll try and sit him down a bit .
    MOT*MOT: there we go .
    MOTis that better ?
    CHIcar .
  2. MOTI'm not sure I'm gonna [: going to] do it right myself but +...
    MOTgive it to mummy .
    MOT*MOT: let's see what we can do .
    MOTshall we put it like that ?
    CHIoh xxx .
  3. MOTgive it to mummy .
    MOTlet's see what we can do .
    MOT*MOT: shall we put it like that ?
    CHIoh xxx .
    CHIchoo^choo@o .
  4. CHImmhm .
    MOTlet's have a go .
    MOT*MOT: see if we start +//.
    MOToh dear .
    MOThis [/] his tail's in the way .
  5. MOTsorry about that .
    MOTthat's it .
    MOT*MOT: can we do it ?
    MOTlet's see .
    MOTthat's it .
  6. MOTthat's a horse .
    MOTor a pony .
    MOT*MOT: we'll say it's a horse for the sake of argument .
    CHIthis .
    MOTwhat ?
  7. MOTdo you want to put these on the floor ?
    CHImmhm .
    MOT*MOT: see what we've got .
    MOTlook .
    MOTthere's +//.
  8. MOTcow .
    MOTwhat else ?
    MOT*MOT: shall we tip it out ?
    CHIoh .
    MOToh .
  9. CHImum .
    CHIxxx .
    MOT*MOT: can we make a burger ?
    CHIburger .
    CHIxxx .
  10. MOTthat's the beef+burger .
    CHIbeef+burger .
    MOT*MOT: now we need this bit .
    CHIxxx .
    MOTand now you have a beef+burger .
  11. MOTsorry .
    MOTa cheese+burger .
    MOT*MOT: got the cheese in , haven't we ?
    MOTcheese+burger .
    CHIcheese+burger .
  12. MOTcan you get me some bits then please .
    CHIbits then .
    MOT*MOT: let's see if we can make it into a reasonable looking train .
    MOTnow we need +//.
    MOTDominic .
  13. CHIbits then .
    MOTlet's see if we can make it into a reasonable looking train .
    MOT*MOT: now we need +//.
    MOTDominic .
    CHImmhm .
  14. CHImmhm .
    MOTmmhm .
    MOT*MOT: there we go .
    MOTlooks a bit more +//.
    MOTwell .
  15. MOTit's actually the [/] the driver's the wrong way .
    INVwww .
    MOT*MOT: there we go .
    MOToh .
    MOTyou're not bothered , are you ?
  16. MOTwell .
    MOTturn +//.
    MOT*MOT: we'll turn the elephant round , shall we ?
    MOTand # put that like that .
    MOTbefore you run off .

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. Dominic eng_british_Manchester_I10.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin03b.chaDominic 1;11.171,553161710.95

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. we17 · 100.0%