PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

35.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (88 utterances, 427 words searched).

  1. in that one ? MOT · eng_USA_Bates/nan28.cha, line 196 · Nan 2;04
  2. there's one more . MOT · eng_USA_Bates/nan28.cha, line 224 · Nan 2;04
  3. you have one with a hat like that # don't you ? MOT · eng_USA_Bates/nan28.cha, line 232 · Nan 2;04
  4. you know we could take one of these out and put them in another one . MOT · eng_USA_Bates/nan28.cha, line 267 · Nan 2;04
  5. you know we could take one of these out and put them in another one . MOT · eng_USA_Bates/nan28.cha, line 267 · Nan 2;04
  6. which is the little one ? MOT · eng_USA_Bates/nan28.cha, line 313 · Nan 2;04
  7. that's the littlest one . MOT · eng_USA_Bates/nan28.cha, line 320 · Nan 2;04
  8. that's kind [!] of little though because this is the real big one . MOT · eng_USA_Bates/nan28.cha, line 325 · Nan 2;04
  9. yeah # that's a little one # too . MOT · eng_USA_Bates/nan28.cha, line 349 · Nan 2;04
  10. remember this is how the one you got works too . MOT · eng_USA_Bates/nan28.cha, line 418 · Nan 2;04
  11. here's another one . MOT · eng_USA_Bates/nan28.cha, line 442 · Nan 2;04
  12. oh that one fits . MOT · eng_USA_Bates/nan28.cha, line 450 · Nan 2;04
  13. there's another one . MOT · eng_USA_Bates/nan28.cha, line 503 · Nan 2;04
  14. that one works . MOT · eng_USA_Bates/nan28.cha, line 519 · Nan 2;04
  15. should I take the yellow one off or you want to put that on top ? MOT · eng_USA_Bates/nan28.cha, line 546 · Nan 2;04
  1. CHIxxx .
    CHIin there .
    MOT*MOT: in that one ?
    CHIyeah .
    MOTok .
  2. MOThow many more people ?
    CHIthey come in here .
    MOT*MOT: there's one more .
    MOTxxx .
    CHIdo_do_do@wp that side .
  3. MOTxxx .
    CHIdo_do_do@wp that side .
    MOT*MOT: you have one with a hat like that # don't you ?
    CHIdo_do_do@wp that side .
    MOTthat side ?
  4. CHIthat one go in [/] in there .
    MOToh # ok .
    MOT*MOT: you know we could take one of these out and put them in another one .
    CHIno .
    CHIthis [/] this go put it in there .
  5. CHIno yyy .
    MOTuhhuh .
    MOT*MOT: which is the little one ?
    CHIthat one .
    MOToh # you're right .
  6. CHIthat one .
    MOToh # you're right .
    MOT*MOT: that's the littlest one .
    CHIthis one +...
    MOTthat's kind [!] of little though because this is the real big one .
  7. MOTthat's the littlest one .
    CHIthis one +...
    MOT*MOT: that's kind [!] of little though because this is the real big one .
    CHIyeah .
    CHIthis one .
  8. CHIthis one yyy .
    CHIthat a little one .
    MOT*MOT: yeah # that's a little one # too .
    CHIthat xxx little one .
    MOTno # it's not the littlest but it's kind of little .
  9. CHIyeah .
    MOTok # let's take +...
    MOT*MOT: remember this is how the one you got works too .
    MOTshould +...
    MOTwhere should we put the people ?
  10. MOTlet's see .
    MOTwhere +...
    MOT*MOT: here's another one .
    MOTthink this would fit in there ?
    CHIyeah .
  11. MOTthink this would fit in there ?
    CHIyeah .
    MOT*MOT: oh that one fits .
    MOTI don't know if it's the next size .
    CHIthis one .
  12. MOTyeah # there's lots of yellows .
    CHIthis .
    MOT*MOT: there's another one .
    CHIthis another one .
    MOTyeah .
  13. CHIthis one put on there .
    MOTyeah # that's good .
    MOT*MOT: that one works .
    CHIthis one works # too .
    MOTyeah # that works too .
  14. MOTput him in there ?
    CHIyeah .
    MOT*MOT: should I take the yellow one off or you want to put that on top ?
    MOToh # you can put that on top if you want .
    CHIno .

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. Nan eng_USA_Bates35.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan28.chaNan 2;4.427141535.13

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. one15 · 100.0%