PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

10.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,550 words searched).

  1. like you normally do . MOT · eng_british_Manchester_II/nic24b.cha, line 161 · Nicole 2;09
  2. what do they look like ? MOT · eng_british_Manchester_II/nic24b.cha, line 371 · Nicole 2;09
  3. what do they look like ? MOT · eng_british_Manchester_II/nic24b.cha, line 377 · Nicole 2;09
  4. like that . MOT · eng_british_Manchester_II/nic24b.cha, line 463 · Nicole 2;09
  5. looks like it's got some tower+blocks in it . INV · eng_british_Manchester_II/nic24b.cha, line 533 · Nicole 2;09
  6. you like hot+dogs , don't you ? MOT · eng_british_Manchester_II/nic24b.cha, line 831 · Nicole 2;09
  7. don't you like them anymore ? MOT · eng_british_Manchester_II/nic24b.cha, line 839 · Nicole 2;09
  8. you like grapes though , don't you ? MOT · eng_british_Manchester_II/nic24b.cha, line 849 · Nicole 2;09
  9. do you like grapes ? MOT · eng_british_Manchester_II/nic24b.cha, line 851 · Nicole 2;09
  10. you like being tickled , don't you ? MOT · eng_british_Manchester_II/nic24b.cha, line 966 · Nicole 2;09
  11. do you like being tickled ? MOT · eng_british_Manchester_II/nic24b.cha, line 968 · Nicole 2;09
  12. you like Postman_Pat , don't you ? MOT · eng_british_Manchester_II/nic24b.cha, line 1068 · Nicole 2;09
  13. like some sweeties , would you ? MOT · eng_british_Manchester_II/nic24b.cha, line 1081 · Nicole 2;09
  14. what would you like a drink of ? MOT · eng_british_Manchester_II/nic24b.cha, line 1193 · Nicole 2;09
  15. what would you like a drink of ? MOT · eng_british_Manchester_II/nic24b.cha, line 1197 · Nicole 2;09
  16. perhaps if we do it like that . MOT · eng_british_Manchester_II/nic24b.cha, line 1517 · Nicole 2;09
  1. MOThere's the lid .
    MOTyou can put the animals on the lid , can't you ?
    MOT*MOT: like you normally do .
    MOToh .
    MOTyou have got a cough .
  2. MOTI can't understand what you're saying ?
    CHIwhat [/] what's them ?
    MOT*MOT: what do they look like ?
    CHIdon't know .
    MOTyo do .
  3. CHIdon't know .
    MOTyo do .
    MOT*MOT: what do they look like ?
    CHIchips .
    MOTchips .
  4. MOTno .
    MOTit'll have to go there .
    MOT*MOT: like that .
    MOTand that's a field for the cows , is it ?
    CHIyes .
  5. MOTmmhm .
    CHIand cows .
    INV*INV: looks like it's got some tower+blocks in it .
    MOTmmhm .
    MOTare you color coordinating this field , Nicole ?
  6. MOTthat's a hot+dog .
    MOTa hot+dog , isn't it ?
    MOT*MOT: you like hot+dogs , don't you ?
    CHIno .
    MOToh .
  7. MOToh .
    MOThave you gone off them now ?
    MOT*MOT: don't you like them anymore ?
    CHIno .
    MOToh .
  8. CHIdon't like anymore .
    MOThmm ?
    MOT*MOT: you like grapes though , don't you ?
    MOTdo you like grapes ?
    CHIlook .
  9. MOThmm ?
    MOTyou like grapes though , don't you ?
    MOT*MOT: do you like grapes ?
    CHIlook .
    MOTare they your favorite ?
  10. INVup there ?
    MOTwww .
    MOT*MOT: you like being tickled , don't you ?
    MOTdo you like being tickled ?
    CHIum +...
  11. MOTwww .
    MOTyou like being tickled , don't you ?
    MOT*MOT: do you like being tickled ?
    CHIum +...
    MOThmm ?
  12. MOTwho're you going to watch ?
    MOTPostman_Pat .
    MOT*MOT: you like Postman_Pat , don't you ?
    MOTwww .
    CHINicole want a sweetie .
  13. MOTpardon ?
    CHIsweetie .
    MOT*MOT: like some sweeties , would you ?
    CHIyeah .
    CHIplease .
  14. MOTthey're all gonna [: going to] go backwards , look .
    MOTthere .
    MOT*MOT: what would you like a drink of ?
    MOTNicole .
    MOTwhat would you like a drink of ?
  15. MOTwhat would you like a drink of ?
    MOTNicole .
    MOT*MOT: what would you like a drink of ?
    CHIxxx .
    CHImy mints .
  16. MOThe willn't actually .
    MOThe willn't stop down .
    MOT*MOT: perhaps if we do it like that .
    MOTno .
    MOThe's a little bit too big .

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_II10.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24b.chaNicole 2;9.031,550161610.32

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. like16 · 100.0%