PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

7.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (592 utterances, 2,304 words searched).

  1. what's this ? MOT · eng_british_Manchester_II/nic08b.cha, line 65 · Nicole 2;03
  2. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 113 · Nicole 2;03
  3. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 138 · Nicole 2;03
  4. what's this ? MOT · eng_british_Manchester_II/nic08b.cha, line 172 · Nicole 2;03
  5. what's this ? MOT · eng_british_Manchester_II/nic08b.cha, line 206 · Nicole 2;03
  6. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 228 · Nicole 2;03
  7. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 285 · Nicole 2;03
  8. what's this ? MOT · eng_british_Manchester_II/nic08b.cha, line 304 · Nicole 2;03
  9. what's he done ? MOT · eng_british_Manchester_II/nic08b.cha, line 536 · Nicole 2;03
  10. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 580 · Nicole 2;03
  11. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 669 · Nicole 2;03
  12. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 679 · Nicole 2;03
  13. what's in that tin ? MOT · eng_british_Manchester_II/nic08b.cha, line 691 · Nicole 2;03
  14. what's in there ? MOT · eng_british_Manchester_II/nic08b.cha, line 695 · Nicole 2;03
  15. <what's that> [<] you've got ? MOT · eng_british_Manchester_II/nic08b.cha, line 1112 · Nicole 2;03
  16. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 1619 · Nicole 2;03
  17. what's that ? MOT · eng_british_Manchester_II/nic08b.cha, line 1785 · Nicole 2;03
  1. CHIno more .
    MOTwww .
    MOT*MOT: what's this ?
    MOTwhat is it ?
    CHIno .
  2. MOTyeah ?
    MOThaven't bought any for a few weeks , have I ?
    MOT*MOT: what's that ?
    CHIcheese .
    MOTwhat is it ?
  3. MOTno .
    MOTxxx .
    MOT*MOT: what's that ?
    MOTthat's a pepper , isn't it ?
    MOTpepper .
  4. MOTcan you say tomato ?
    CHIxxx .
    MOT*MOT: what's this ?
    MOTI think that's +//.
    MOTthat must be a satsuma because it's so small .
  5. MOTthere it goes .
    MOTnow take it out +//.
    MOT*MOT: what's this ?
    MOTknow what that is ?
    MOTdo you know what that is ?
  6. MOTmummy likes doughnuts .
    MOTxxx .
    MOT*MOT: what's that ?
    MOTnow .
    MOTis that a cucumber or is it a gherkin or is it a courgette ?
  7. MOTis mummy tired ?
    MOTclothes .
    MOT*MOT: what's that ?
    MOTis that a blouse ?
    CHIno .
  8. MOTif it's not a blouse can you tell me what it is ?
    CHIxxx .
    MOT*MOT: what's this ?
    CHIum # um dolly .
    MOTis that her dress ?
  9. MOToh .
    MOTdropped out .
    MOT*MOT: what's he done ?
    CHIdrop .
    CHIxxx .
  10. CHIorange there .
    MOTmmhm .
    MOT*MOT: what's that ?
    MOTtin of what ?
    MOTwhat is it ?
  11. MOTcakes .
    MOTgood girl .
    MOT*MOT: what's that ?
    CHIa chicken .
    MOTa chicken ?
  12. CHIyeah .
    CHIchicken .
    MOT*MOT: what's that ?
    CHIa pie .
    MOTno .
  13. MOThey .
    MOTwill you stop this squealing .
    MOT*MOT: what's in that tin ?
    CHIno .
    MOTwhat's in there ?
  14. MOTwhat's in that tin ?
    CHIno .
    MOT*MOT: what's in there ?
    CHIholiday now .
    MOTare you going +//.
  15. MOTshopping .
    CHI<a wee+wee> [>] .
    MOT*MOT: <what's that> [<] you've got ?
    MOTyou want to wee+wee ?
    CHImmhm .
  16. CHIhot+dog .
    MOT+, seven .
    MOT*MOT: what's that ?
    CHIhot+dog .
    MOThot+dog .
  17. MOTdoes Nicole like pizza ?
    CHImmhm .
    MOT*MOT: what's that ?
    CHIbanana .
    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. Nicole eng_british_Manchester_II7.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic08b.chaNicole 2;3.032,30417177.38

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. what's17 · 100.0%