PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

7.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 1,916 words searched).

  1. for playing +//. MOT · eng_british_Manchester_I/becky17a.cha, line 171 · Becky 2;05
  2. that's for them playing music on . MOT · eng_british_Manchester_I/becky17a.cha, line 356 · Becky 2;05
  3. what [/] what've you got that for ? MOT · eng_british_Manchester_I/becky17a.cha, line 559 · Becky 2;05
  4. what are you sorry for ? MOT · eng_british_Manchester_I/becky17a.cha, line 991 · Becky 2;05
  5. leave that just for a minute . MOT · eng_british_Manchester_I/becky17a.cha, line 1236 · Becky 2;05
  6. one for you . MOT · eng_british_Manchester_I/becky17a.cha, line 1523 · Becky 2;05
  7. and one for Caroline . MOT · eng_british_Manchester_I/becky17a.cha, line 1525 · Becky 2;05
  8. and one for me . MOT · eng_british_Manchester_I/becky17a.cha, line 1531 · Becky 2;05
  9. what sort of nose am I looking for ? INV · eng_british_Manchester_I/becky17a.cha, line 1628 · Becky 2;05
  10. you're looking for a hippo's nose . MOT · eng_british_Manchester_I/becky17a.cha, line 1630 · Becky 2;05
  11. there's another one for you . MOT · eng_british_Manchester_I/becky17a.cha, line 1760 · Becky 2;05
  12. you're looking for +... INV · eng_british_Manchester_I/becky17a.cha, line 1870 · Becky 2;05
  13. that one's for a pig . INV · eng_british_Manchester_I/becky17a.cha, line 1872 · Becky 2;05
  14. I [/] I've no idea what sort of nose I'm looking for ? INV · eng_british_Manchester_I/becky17a.cha, line 1876 · Becky 2;05
  15. now I'm looking for one of those noses as well , aren't I ? MOT · eng_british_Manchester_I/becky17a.cha, line 1893 · Becky 2;05
  1. MOThmm ?
    CHIyeah .
    MOT*MOT: for playing +//.
    MOTyou've got it the wrong way round .
    CHIyeah .
  2. MOTit doesn't .
    CHIyes .
    MOT*MOT: that's for them playing music on .
    CHIno .
    MOTwww .
  3. CHIxxx .
    MOTgo on back in there now .
    MOT*MOT: what [/] what've you got that for ?
    CHIxxx .
    CHIhere you are , Caroline .
  4. MOTup you get if you've finished .
    CHII'm sorry .
    MOT*MOT: what are you sorry for ?
    CHII 0am [*] just sorry .
    CHIxxx .
  5. MOTno .
    MOTyou willn't be able to get that one in yet .
    MOT*MOT: leave that just for a minute .
    MOTwhat about um +...
    MOTcan you find another pirate ?
  6. CHIMum .
    CHII can't play .
    MOT*MOT: one for you .
    MOTand one for Caroline .
    INVthank you .
  7. CHII can't play .
    MOTone for you .
    MOT*MOT: and one for Caroline .
    INVthank you .
    MOTand one for me .
  8. MOTand one for Caroline .
    INVthank you .
    MOT*MOT: and one for me .
    MOTyou [/] you can put yours over there .
    MOTand I'll put mine here .
  9. CHIxxx .
    MOTCaroline have a go .
    INV*INV: what sort of nose am I looking for ?
    MOTyou're looking for a hippo's nose .
    INVI don't know what a hippo's nose looks like .
  10. MOTCaroline have a go .
    INVwhat sort of nose am I looking for ?
    MOT*MOT: you're looking for a hippo's nose .
    INVI don't know what a hippo's nose looks like .
    MOTBecky'll tell you if it's right .
  11. MOTyeah .
    MOTthere you are .
    MOT*MOT: there's another one for you .
    INVthank you .
    MOTwhat's that , Becky ?
  12. MOTput that one back .
    CHIwe 0are [*] looking for a pig .
    INV*INV: you're looking for +...
    INVthat one's for a pig .
    INVyes .
  13. CHIwe 0are [*] looking for a pig .
    INVyou're looking for +...
    INV*INV: that one's for a pig .
    INVyes .
    INVI [/] I've no idea what sort of nose I'm looking for ?
  14. INVthat one's for a pig .
    INVyes .
    INV*INV: I [/] I've no idea what sort of nose I'm looking for ?
    MOTno .
    MOTnot that one .
  15. MOTno .
    CHIxxx .
    MOT*MOT: now I'm looking for one of those noses as well , aren't I ?
    MOToh .
    MOTno .

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_I7.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky17a.chaBecky 2;5.291,91615157.83

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. for15 · 100.0%