PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

10.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (512 utterances, 1,572 words searched).

  1. there . MOT · eng_british_Manchester_I/becky07b.cha, line 162 · Becky 2;02
  2. is there a banana ? MOT · eng_british_Manchester_I/becky07b.cha, line 193 · Becky 2;02
  3. there you are . MOT · eng_british_Manchester_I/becky07b.cha, line 209 · Becky 2;02
  4. there you are . MOT · eng_british_Manchester_I/becky07b.cha, line 295 · Becky 2;02
  5. there's another one you can put on as well , look . MOT · eng_british_Manchester_I/becky07b.cha, line 311 · Becky 2;02
  6. there's some eyes here , look . MOT · eng_british_Manchester_I/becky07b.cha, line 446 · Becky 2;02
  7. and more yellow there ? MOT · eng_british_Manchester_I/becky07b.cha, line 536 · Becky 2;02
  8. put them in there . MOT · eng_british_Manchester_I/becky07b.cha, line 942 · Becky 2;02
  9. there we are . MOT · eng_british_Manchester_I/becky07b.cha, line 979 · Becky 2;02
  10. there's one of them . MOT · eng_british_Manchester_I/becky07b.cha, line 1160 · Becky 2;02
  11. there's the other one . MOT · eng_british_Manchester_I/becky07b.cha, line 1168 · Becky 2;02
  12. there we are . MOT · eng_british_Manchester_I/becky07b.cha, line 1206 · Becky 2;02
  13. there . MOT · eng_british_Manchester_I/becky07b.cha, line 1208 · Becky 2;02
  14. there they are . MOT · eng_british_Manchester_I/becky07b.cha, line 1265 · Becky 2;02
  15. the cake's there , look . MOT · eng_british_Manchester_I/becky07b.cha, line 1353 · Becky 2;02
  16. there you are . MOT · eng_british_Manchester_I/becky07b.cha, line 1714 · Becky 2;02
  17. is there another shoe ? MOT · eng_british_Manchester_I/becky07b.cha, line 1770 · Becky 2;02
  1. CHIxxx .
    MOTI'm gonna [: going to] hit you with it now .
    MOT*MOT: there .
    CHIxxx .
    MOTlook , Becky .
  2. CHIthere 0is [*] a banana .
    CHIthere a banana .
    MOT*MOT: is there a banana ?
    CHIyeah .
    MOTI've got the banana .
  3. MOTwhat do you say ?
    CHIplease .
    MOT*MOT: there you are .
    CHIthanks .
    CHIthank you .
  4. MOToh .
    MOToh .
    MOT*MOT: there you are .
    CHIa fishy .
    MOTbucket of fish in the other ear .
  5. CHII hold &a hand .
    CHIxxx .
    MOT*MOT: there's another one you can put on as well , look .
    MOTthat's bones .
    CHI<that bones> [>] .
  6. MOTput [/] put this one on xxx .
    MOTxxx .
    MOT*MOT: there's some eyes here , look .
    MOTcan you see them ?
    CHIum # more .
  7. MOTmore yellow ?
    CHIyes .
    MOT*MOT: and more yellow there ?
    MOTso what color are they ?
    MOTwhat color's this ?
  8. MOTput <the train> [/] the chairs on the back of the train then .
    CHIokay ?
    MOT*MOT: put them in there .
    CHIno .
    MOTno .
  9. MOTshall we put him in , look ?
    CHIyeah .
    MOT*MOT: there we are .
    MOTokay ?
    CHIno .
  10. MOTthey're sitting on the um # the xxx .
    MOThere you are .
    MOT*MOT: there's one of them .
    CHIthere's one of them .
    CHIxxx .
  11. CHIxxx .
    MOThere you are .
    MOT*MOT: there's the other one .
    MOTdo they fit in the chairs ?
    CHIyeah .
  12. MOTput the little boy on as well .
    MOTin his chair .
    MOT*MOT: there we are .
    MOTthere .
    MOTare they going for a ride now ?
  13. MOTin his chair .
    MOTthere we are .
    MOT*MOT: there .
    MOTare they going for a ride now ?
    CHIyeah .
  14. CHIturn around .
    MOTlift your leg up .
    MOT*MOT: there they are .
    MOTchoo^choo@o .
    CHIturn around .
  15. CHIwhere 0is [*] cake ?
    INVwhere +/.
    MOT*MOT: the cake's there , look .
    MOTthat's it ?
    CHIpiece ?
  16. MOThang on .
    MOTbecause I'm gonna [: going to] pull your hair out if you move about .
    MOT*MOT: there you are .
    CHIfalling down again .
    MOTI don't think I'll be able to put them in xxx .
  17. CHIxxx shoe .
    INVshould be another shoe as well somewhere .
    MOT*MOT: is there another shoe ?
    MOTcan you find it ?
    INVtry and have a look in the box .

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. Becky eng_british_Manchester_I10.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky07b.chaBecky 2;2.151,572171710.81

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. there17 · 100.0%