PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

8.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (371 utterances, 1,835 words searched).

  1. I don't know if there are trailers in here , Warren . MOT · eng_british_Manchester_II/warr01b.cha, line 42 · Warren 1;10
  2. what are these ? MOT · eng_british_Manchester_II/warr01b.cha, line 491 · Warren 1;10
  3. that's what they are . MOT · eng_british_Manchester_II/warr01b.cha, line 535 · Warren 1;10
  4. are you a baby , Warren ? MOT · eng_british_Manchester_II/warr01b.cha, line 669 · Warren 1;10
  5. are you a baby ? MOT · eng_british_Manchester_II/warr01b.cha, line 677 · Warren 1;10
  6. when are you a baby ? MOT · eng_british_Manchester_II/warr01b.cha, line 682 · Warren 1;10
  7. are you sharing it ? MOT · eng_british_Manchester_II/warr01b.cha, line 717 · Warren 1;10
  8. do you know what those are ? MOT · eng_british_Manchester_II/warr01b.cha, line 741 · Warren 1;10
  9. do you know what they are ? MOT · eng_british_Manchester_II/warr01b.cha, line 746 · Warren 1;10
  10. yes they are baby toys really but you like them as well . MOT · eng_british_Manchester_II/warr01b.cha, line 862 · Warren 1;10
  11. are you going to put them back on the post ? MOT · eng_british_Manchester_II/warr01b.cha, line 880 · Warren 1;10
  12. here they are . MOT · eng_british_Manchester_II/warr01b.cha, line 929 · Warren 1;10
  13. are you going to empty this basket out again ? MOT · eng_british_Manchester_II/warr01b.cha, line 1215 · Warren 1;10
  14. are you driving ? MOT · eng_british_Manchester_II/warr01b.cha, line 1366 · Warren 1;10
  15. are you going fast ? MOT · eng_british_Manchester_II/warr01b.cha, line 1368 · Warren 1;10
  16. look there we are . MOT · eng_british_Manchester_II/warr01b.cha, line 1471 · Warren 1;10
  1. MOTwhat's in there ?
    CHIwhere's the trailer gone ?
    MOT*MOT: I don't know if there are trailers in here , Warren .
    MOTwhy don't you look ?
    MOTI can see something that you like .
  2. CHII put it .
    MOTwhat else is here ?
    MOT*MOT: what are these ?
    CHInana .
    MOToh: roast chicken .
  3. CHIanother plum .
    MOTorange .
    MOT*MOT: that's what they are .
    CHIorange .
    MOTorange .
  4. CHIit 0is [*] baby drink .
    MOTyeah it is a baby drink .
    MOT*MOT: are you a baby , Warren ?
    CHIbaby drink .
    CHImy baby [/] baby drink .
  5. CHImy baby [/] baby drink .
    MOTis Warren a baby ?
    MOT*MOT: are you a baby ?
    MOTyou're a baby sometimes , aren't you ?
    MOTwhen are you a baby ?
  6. MOTare you a baby ?
    MOTyou're a baby sometimes , aren't you ?
    MOT*MOT: when are you a baby ?
    CHIbaby drink .
    CHIthe baby have drink .
  7. MOTthat big boys don't have ?
    MOTexcept maybe when they go to bed ?
    MOT*MOT: are you sharing it ?
    MOTshe's not a very thirsty baby , is she ?
    CHIput it the box .
  8. CHIany more .
    CHIoh .
    MOT*MOT: do you know what those are ?
    CHIxxx .
    MOTdo you know what they are ?
  9. MOTdo you know what those are ?
    CHIxxx .
    MOT*MOT: do you know what they are ?
    MOTgrapes .
    CHIgrapes .
  10. CHIbaby's .
    CHIbaby's .
    MOT*MOT: yes they are baby toys really but you like them as well .
    CHImine 0is [*] stuck .
    CHIstuck .
  11. CHIit 0is [*] stuck .
    MOTthat's it .
    MOT*MOT: are you going to put them back on the post ?
    CHIthe post .
    CHIback on post .
  12. MOTchoose another one .
    CHIanother one .
    MOT*MOT: here they are .
    MOTwhich one's going next ?
    CHIone .
  13. MOTit does look like the steps actually that go up to a slide .
    MOTyou're right .
    MOT*MOT: are you going to empty this basket out again ?
    MOToh dear .
    CHIhat .
  14. CHIdown .
    MOTthat's it .
    MOT*MOT: are you driving ?
    MOTare you going fast ?
    MOTwhere's he gone ?
  15. MOTthat's it .
    MOTare you driving ?
    MOT*MOT: are you going fast ?
    MOTwhere's he gone ?
    MOTwhere is he ?
  16. MOTthe monkey might be able to sit in with the panda .
    MOTso we've got a sensible driver and a crazy driver .
    MOT*MOT: look there we are .
    MOTboth in together .
    MOTwho's in the car now ?

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_II8.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr01b.chaWarren 1;10.061,83516168.72

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. are16 · 100.0%