PHPCLANCHILDES with regular expressions

17 matches in 17 utterances

11.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,501 words searched).

  1. shall we see what's in the box ? MOT · eng_british_Manchester_II/warr19b.cha, line 69 · Warren 2;04
  2. what's she called ? MOT · eng_british_Manchester_II/warr19b.cha, line 75 · Warren 2;04
  3. what's the dolly called ? MOT · eng_british_Manchester_II/warr19b.cha, line 77 · Warren 2;04
  4. what color is it ? MOT · eng_british_Manchester_II/warr19b.cha, line 298 · Warren 2;04
  5. now what's the doll going to wear ? MOT · eng_british_Manchester_II/warr19b.cha, line 520 · Warren 2;04
  6. what should she wear ? MOT · eng_british_Manchester_II/warr19b.cha, line 528 · Warren 2;04
  7. what kind of cakes do we have candles on ? MOT · eng_british_Manchester_II/warr19b.cha, line 643 · Warren 2;04
  8. what a terrible noise these bricks make . MOT · eng_british_Manchester_II/warr19b.cha, line 678 · Warren 2;04
  9. what did the train say ? MOT · eng_british_Manchester_II/warr19b.cha, line 722 · Warren 2;04
  10. what is it ? MOT · eng_british_Manchester_II/warr19b.cha, line 779 · Warren 2;04
  11. what is it ? MOT · eng_british_Manchester_II/warr19b.cha, line 781 · Warren 2;04
  12. what's the bull ? MOT · eng_british_Manchester_II/warr19b.cha, line 811 · Warren 2;04
  13. what's the bull got on its head ? MOT · eng_british_Manchester_II/warr19b.cha, line 815 · Warren 2;04
  14. it's got ears and what are these ? MOT · eng_british_Manchester_II/warr19b.cha, line 820 · Warren 2;04
  15. just ignore what I was going to say . MOT · eng_british_Manchester_II/warr19b.cha, line 925 · Warren 2;04
  16. what's this ? MOT · eng_british_Manchester_II/warr19b.cha, line 953 · Warren 2;04
  17. what is it ? MOT · eng_british_Manchester_II/warr19b.cha, line 965 · Warren 2;04
  1. MOTthat's an o@l for orange .
    MOTnever mind .
    MOT*MOT: shall we see what's in the box ?
    CHIoh xxx the box .
    MOTwho is it ?
  2. CHIoh xxx the box .
    MOTwho is it ?
    MOT*MOT: what's she called ?
    MOTwhat's the dolly called ?
    CHIdolly .
  3. MOTwho is it ?
    MOTwhat's she called ?
    MOT*MOT: what's the dolly called ?
    CHIdolly .
    MOTshe's just called dolly , is she ?
  4. CHIa little pig .
    MOToh yeah .
    MOT*MOT: what color is it ?
    CHIthere's a man .
    MOTxxx .
  5. MOTare you going to put the pigs in ?
    CHIyes .
    MOT*MOT: now what's the doll going to wear ?
    MOTshe's a bit cold .
    MOTshe's shivering , look .
  6. MOTshe's shivering , look .
    MOTshe's cold .
    MOT*MOT: what should she wear ?
    CHIwear this .
    CHIthese trousers .
  7. MOTyeah .
    MOTand we have them on cakes , don't we ?
    MOT*MOT: what kind of cakes do we have candles on ?
    CHIsing Happy+Birthday .
    MOTthat's right .
  8. CHIwhere's another shoe ?
    MOTit's probably in here somewhere .
    MOT*MOT: what a terrible noise these bricks make .
    MOTahhah .
    MOTahhah .
  9. MOTin the train .
    MOTthat's right .
    MOT*MOT: what did the train say ?
    CHIgo poop^poop@o .
    MOTit did .
  10. MOTis that a cow ?
    CHIno .
    MOT*MOT: what is it ?
    MOTwhat is it ?
    CHIa donkey .
  11. CHIno .
    MOTwhat is it ?
    MOT*MOT: what is it ?
    CHIa donkey .
    MOTno .
  12. CHIit's a cow .
    CHIa bull .
    MOT*MOT: what's the bull ?
    CHIa Mummy bull .
    MOTwhat's the bull got on its head ?
  13. MOTwhat's the bull ?
    CHIa Mummy bull .
    MOT*MOT: what's the bull got on its head ?
    CHIears .
    MOTit's got ears and what are these ?
  14. MOTwhat's the bull got on its head ?
    CHIears .
    MOT*MOT: it's got ears and what are these ?
    CHIears .
    MOTno .
  15. MOTno .
    MOTit's all right .
    MOT*MOT: just ignore what I was going to say .
    CHIcould do .
    CHIput in the fields .
  16. CHIwhat's this ?
    MOTit's a baby horse .
    MOT*MOT: what's this ?
    CHIlittle lamb .
    MOTno darling .
  17. MOTI'll give you a clue .
    MOTwoof^woof@o .
    MOT*MOT: what is it ?
    CHIdog .
    MOTyeah .

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. Warren eng_british_Manchester_II11.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr19b.chaWarren 2;4.131,501171711.33

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. what17 · 100.0%