PHPCLANCHILDES with regular expressions

18 matches in 18 utterances

12.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,469 words searched).

  1. there we go . MOT · eng_british_Manchester_II/warr28b.cha, line 70 · Warren 2;07
  2. there . MOT · eng_british_Manchester_II/warr28b.cha, line 74 · Warren 2;07
  3. there you go . MOT · eng_british_Manchester_II/warr28b.cha, line 130 · Warren 2;07
  4. there we go . MOT · eng_british_Manchester_II/warr28b.cha, line 207 · Warren 2;07
  5. there he is . MOT · eng_british_Manchester_II/warr28b.cha, line 305 · Warren 2;07
  6. might be a bit stronger in there . MOT · eng_british_Manchester_II/warr28b.cha, line 340 · Warren 2;07
  7. there's one man . MOT · eng_british_Manchester_II/warr28b.cha, line 359 · Warren 2;07
  8. well keep looking because they'll be in there . MOT · eng_british_Manchester_II/warr28b.cha, line 365 · Warren 2;07
  9. you just wait there . MOT · eng_british_Manchester_II/warr28b.cha, line 384 · Warren 2;07
  10. there we go . MOT · eng_british_Manchester_II/warr28b.cha, line 479 · Warren 2;07
  11. there's a bull and a cow . MOT · eng_british_Manchester_II/warr28b.cha, line 562 · Warren 2;07
  12. I don't know if there is a baby cow actually . MOT · eng_british_Manchester_II/warr28b.cha, line 581 · Warren 2;07
  13. maybe there isn't one . MOT · eng_british_Manchester_II/warr28b.cha, line 596 · Warren 2;07
  14. there you go . MOT · eng_british_Manchester_II/warr28b.cha, line 629 · Warren 2;07
  15. I think there are only two . MOT · eng_british_Manchester_II/warr28b.cha, line 663 · Warren 2;07
  16. well what does that gate do up there , Warren ? MOT · eng_british_Manchester_II/warr28b.cha, line 1006 · Warren 2;07
  17. well it'll fit through if the train's not there . MOT · eng_british_Manchester_II/warr28b.cha, line 1043 · Warren 2;07
  18. there we go . MOT · eng_british_Manchester_II/warr28b.cha, line 1216 · Warren 2;07
  1. MOTshall I put her over here so she can watch +//.
    MOTshall she watch the loudspeaker ?
    MOT*MOT: there we go .
    MOTwhoops .
    MOTthere .
  2. MOTthere we go .
    MOTwhoops .
    MOT*MOT: there .
    MOTshe's watching the loudspeaker and your books .
    MOTwhat're you making ?
  3. CHIcan't get it off .
    MOToh .
    MOT*MOT: there you go .
    CHIxxx .
    MOTwhat color's that brick ?
  4. MOTthat's it .
    CHIand this 0is [*] going up .
    MOT*MOT: there we go .
    CHIthat's getting big now .
    MOTthat's really big .
  5. CHIin that hand .
    CHIyes .
    MOT*MOT: there he is .
    MOThe was late this morning , wasn't he for his train ?
    CHIyeah .
  6. CHII put it on his .
    MOTwell press it down properly then it's fixed okay .
    MOT*MOT: might be a bit stronger in there .
    CHIthat can fit on .
    CHIxxx .
  7. CHIwhere's a [*] men gone ?
    CHII can't see one men [*] .
    MOT*MOT: there's one man .
    MOTcan you see any more men ?
    CHII can't .
  8. MOTcan you see any more men ?
    CHII can't .
    MOT*MOT: well keep looking because they'll be in there .
    MOTI can see one .
    MOToh no .
  9. CHIahhah .
    MOTright .
    MOT*MOT: you just wait there .
    CHIwho's that ?
    MOTI don't know .
  10. CHIyeah .
    CHIhere .
    MOT*MOT: there we go .
    MOTis that to keep animals in or out ?
    CHIout .
  11. CHIthat's a Warren cow .
    CHIthat's a bull .
    MOT*MOT: there's a bull and a cow .
    MOTa bull is like a Daddy cow and a cow is like a Mummy cow .
    MOTand a Warren cow is a calf .
  12. MOTthat's a horse dear .
    MOTlet's look for a baby cow .
    MOT*MOT: I don't know if there is a baby cow actually .
    MOTis that a baby cow ?
    MOTno .
  13. MOTnot much difference .
    MOTI can't find a baby cow .
    MOT*MOT: maybe there isn't one .
    CHIand see another gate .
    CHII can see another gate .
  14. MOTyou have to put it on like that .
    MOTI think .
    MOT*MOT: there you go .
    CHIbrumm@o .
    MOTwhat's the monkey saying as the train drives along .
  15. MOTrather than it all being on one truck .
    CHIwhere's another trailer ?
    MOT*MOT: I think there are only two .
    CHII want another trailer .
    CHII want another trailer .
  16. CHIreally higher .
    CHIput that gate down little bit .
    MOT*MOT: well what does that gate do up there , Warren ?
    MOTwhat's it doing ?
    CHIit's peeping .
  17. CHIthe car can't fit through .
    CHIbeep^beep@o .
    MOT*MOT: well it'll fit through if the train's not there .
    CHIdon't crash in the brick .
    CHIno [/] no .
  18. CHIit's come off .
    MOTshall I put it back on ?
    MOT*MOT: there we go .
    CHIthe gate's shut .
    MOTwhat's the car going to do ?

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_II12.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr28b.chaWarren 2;7.121,469181812.25

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. there18 · 100.0%