PHPCLANCHILDES with regular expressions

16 matches in 14 utterances

7.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (586 utterances, 2,011 words searched).

  1. and crisps ? MOT · eng_british_Manchester_I/anne28b.cha, line 304 · Anne 2;07
  2. and what [/] what is there to play on at the pub ? INV · eng_british_Manchester_I/anne28b.cha, line 310 · Anne 2;07
  3. you can come and share it . MOT · eng_british_Manchester_I/anne28b.cha, line 555 · Anne 2;07
  4. because you're right by that table and that drink will spill . MOT · eng_british_Manchester_I/anne28b.cha, line 619 · Anne 2;07
  5. because it's ours and we switch it ? MOT · eng_british_Manchester_I/anne28b.cha, line 654 · Anne 2;07
  6. I would come and sit down here on the floor . MOT · eng_british_Manchester_I/anne28b.cha, line 713 · Anne 2;07
  7. I think there's two Mummy cows and Daddy cow and a baby cow . MOT · eng_british_Manchester_I/anne28b.cha, line 880 · Anne 2;07
  8. I think there's two Mummy cows and Daddy cow and a baby cow . MOT · eng_british_Manchester_I/anne28b.cha, line 880 · Anne 2;07
  9. and eat them for their tea . MOT · eng_british_Manchester_I/anne28b.cha, line 1055 · Anne 2;07
  10. I'm just gonna [: going to] crack this egg and put it in my cake . MOT · eng_british_Manchester_I/anne28b.cha, line 1143 · Anne 2;07
  11. and dried it for me . MOT · eng_british_Manchester_I/anne28b.cha, line 1225 · Anne 2;07
  12. let's get it all nice and straight . MOT · eng_british_Manchester_I/anne28b.cha, line 1707 · Anne 2;07
  13. comb it all nice and straight . MOT · eng_british_Manchester_I/anne28b.cha, line 1711 · Anne 2;07
  14. and what's this and that ? MOT · eng_british_Manchester_I/anne28b.cha, line 2022 · Anne 2;07
  15. and what's this and that ? MOT · eng_british_Manchester_I/anne28b.cha, line 2022 · Anne 2;07
  16. and tea ? MOT · eng_british_Manchester_I/anne28b.cha, line 2044 · Anne 2;07
  1. MOTokay .
    CHIand crisps .
    MOT*MOT: and crisps ?
    INVif you want ?
    MOTusually have chips ,, don't we ?
  2. INVif you want ?
    MOTusually have chips ,, don't we ?
    INV*INV: and what [/] what is there to play on at the pub ?
    CHIxxx .
    MOTwhat're we going to <play at> [//] play on at the pub ?
  3. CHIcan I eat as well ?
    MOTyes .
    MOT*MOT: you can come and share it .
    MOTthere we are .
    CHIcan I share it ?
  4. MOTcareful .
    MOTcareful .
    MOT*MOT: because you're right by that table and that drink will spill .
    CHImmhm .
    MOTcome away .
  5. CHIand we xxx switch it .
    CHIwe switch it .
    MOT*MOT: because it's ours and we switch it ?
    MOTyes .
    MOTwhat're we going to do now then ?
  6. CHIAnne 0is [*] going sit .
    MOTwell .
    MOT*MOT: I would come and sit down here on the floor .
    CHII'm sitting here .
    MOTon the edge ,, are you ?
  7. CHIwho's that ?
    MOTthat's +//.
    MOT*MOT: I think there's two Mummy cows and Daddy cow and a baby cow .
    CHIis that a cow ?
    MOTpardon ?
  8. MOTsomebody'll think your feet are eggs .
    MOTwilln't they ?
    MOT*MOT: and eat them for their tea .
    CHIyeah .
    MOTthat'd be a bit silly .
  9. MOTI'll just have this one .
    CHIdon't .
    MOT*MOT: I'm just gonna [: going to] crack this egg and put it in my cake .
    MOTcrack .
    MOTput it in the cake .
  10. MOTyou did my hair this morning ,, didn't you ?
    CHIyeah .
    MOT*MOT: and dried it for me .
    CHIwe just dry hair .
    MOTokay .
  11. MOTokay .
    MOTlet's see .
    MOT*MOT: let's get it all nice and straight .
    MOTjust borrow the comb .
    MOTcomb it all nice and straight .
  12. MOTlet's get it all nice and straight .
    MOTjust borrow the comb .
    MOT*MOT: comb it all nice and straight .
    MOTso I know how [/] how much to cut off .
    MOToh yes .
  13. MOTwhat's she got to eat ?
    CHIthis and that .
    MOT*MOT: and what's this and that ?
    CHIdrink and a sauce .
    MOTum okay .
  14. MOTis it breakfast ?
    CHIand tea .
    MOT*MOT: and tea ?
    MOTall at once .
    CHIxxx .

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. Anne eng_british_Manchester_I7.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne28b.chaAnne 2;7.152,01114167.96

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. and16 · 100.0%