PHPCLANCHILDES with regular expressions

18 matches in 16 utterances

11.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,508 words searched).

  1. there . INV · eng_british_Manchester_I/gail28a.cha, line 38 · Gail 2;09
  2. there . MOT · eng_british_Manchester_I/gail28a.cha, line 102 · Gail 2;09
  3. nearly there . MOT · eng_british_Manchester_I/gail28a.cha, line 131 · Gail 2;09
  4. with one [//] <your thumb> [/] your thumb in there . MOT · eng_british_Manchester_I/gail28a.cha, line 155 · Gail 2;09
  5. there you are . MOT · eng_british_Manchester_I/gail28a.cha, line 180 · Gail 2;09
  6. there . MOT · eng_british_Manchester_I/gail28a.cha, line 271 · Gail 2;09
  7. shall we see if there's any books that you've got , are there ? MOT · eng_british_Manchester_I/gail28a.cha, line 297 · Gail 2;09
  8. shall we see if there's any books that you've got , are there ? MOT · eng_british_Manchester_I/gail28a.cha, line 297 · Gail 2;09
  9. and who's that chap there ? MOT · eng_british_Manchester_I/gail28a.cha, line 333 · Gail 2;09
  10. there you are . MOT · eng_british_Manchester_I/gail28a.cha, line 417 · Gail 2;09
  11. there . MOT · eng_british_Manchester_I/gail28a.cha, line 444 · Gail 2;09
  12. there were a bit more than two . MOT · eng_british_Manchester_I/gail28a.cha, line 494 · Gail 2;09
  13. there were hundreds , weren't there ? MOT · eng_british_Manchester_I/gail28a.cha, line 496 · Gail 2;09
  14. there were hundreds , weren't there ? MOT · eng_british_Manchester_I/gail28a.cha, line 496 · Gail 2;09
  15. good there , wasn't it ? MOT · eng_british_Manchester_I/gail28a.cha, line 632 · Gail 2;09
  16. the pictures of them on there . MOT · eng_british_Manchester_I/gail28a.cha, line 712 · Gail 2;09
  17. just over there , look . MOT · eng_british_Manchester_I/gail28a.cha, line 826 · Gail 2;09
  18. there . MOT · eng_british_Manchester_I/gail28a.cha, line 1026 · Gail 2;09
  1. INVI think I saw them somewhere .
    MOThere .
    INV*INV: there .
    CHIfound .
    MOTlook .
  2. MOTsee if we can snip down this line here .
    MOTthink that's what you're snipping down , isn't it ?
    MOT*MOT: there .
    CHIlet me do it .
    MOTshall I hold the paper , look ?
  3. CHIanother bit there .
    CHIoh .
    MOT*MOT: nearly there .
    CHIxxx .
    MOTand this bit .
  4. MOT<can't> [<] you hold them like this , look ?
    MOTin one hand .
    MOT*MOT: with one [//] <your thumb> [/] your thumb in there .
    MOTno .
    MOTyour thumb .
  5. MOTcan you do it like that ?
    MOTthat's it .
    MOT*MOT: there you are .
    MOTnow .
    MOTclose them together .
  6. MOTokay .
    MOTwell done .
    MOT*MOT: there .
    MOTxxx .
    MOTdon't snip Mummy , will you ?
  7. MOTwww .
    CHIxxx .
    MOT*MOT: shall we see if there's any books that you've got , are there ?
    MOTshall we have a look ?
    MOTxxx .
  8. MOTwhat ?
    CHIxxx .
    MOT*MOT: and who's that chap there ?
    CHIPercy .
    MOTPercy the keeper .
  9. MOTlook at that long line .
    MOTcutting .
    MOT*MOT: there you are .
    MOTone more .
    MOToh .
  10. CHII can't do it .
    MOTyou've got your thumb at the bottom again .
    MOT*MOT: there .
    MOToh .
    MOTright .
  11. CHItwo .
    MOTtwo ?
    MOT*MOT: there were a bit more than two .
    MOTthere were hundreds , weren't there ?
    MOTso .
  12. MOTtwo ?
    MOTthere were a bit more than two .
    MOT*MOT: there were hundreds , weren't there ?
    MOTso .
    MOTwhat've we bought you ?
  13. MOTRun_Riot .
    MOTyou did .
    MOT*MOT: good there , wasn't it ?
    MOTand we went shopping , didn't we ?
    CHIcan't do it .
  14. MOTno .
    MOTnot the actual books .
    MOT*MOT: the pictures of them on there .
    CHIthere ?
    MOTdid you chop them ?
  15. MOThe is .
    MOTyou watch .
    MOT*MOT: just over there , look .
    MOTyou watch .
    MOTtell me if he's coming .
  16. MOTis he bringing them ?
    MOTgot all his tools .
    MOT*MOT: there .
    MOThis red box .
    MOTquick .

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. Gail eng_british_Manchester_I11.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail28a.chaGail 2;9.041,508161811.94

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%