PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,355 words searched).

  1. are you sure ? MOT · eng_british_Manchester_I/anne25a.cha, line 448 · Anne 2;06
  2. are you gonna [: going to] help me ? MOT · eng_british_Manchester_I/anne25a.cha, line 455 · Anne 2;06
  3. are you gonna [: going to] help me do the tummy+ache game ? MOT · eng_british_Manchester_I/anne25a.cha, line 519 · Anne 2;06
  4. are you going to show Caroline where Annie_Apple is ? MOT · eng_british_Manchester_I/anne25a.cha, line 761 · Anne 2;06
  5. are his babys in those eggs ,, do you think ? MOT · eng_british_Manchester_I/anne25a.cha, line 835 · Anne 2;06
  6. these are the vowel men . MOT · eng_british_Manchester_I/anne25a.cha, line 965 · Anne 2;06
  7. there you are . MOT · eng_british_Manchester_I/anne25a.cha, line 1138 · Anne 2;06
  8. are you going to draw you and me sitting on the bench ? MOT · eng_british_Manchester_I/anne25a.cha, line 1203 · Anne 2;06
  9. are you drawing your sausage roll ? MOT · eng_british_Manchester_I/anne25a.cha, line 1352 · Anne 2;06
  10. are you gonna [: going to] write his name at the bottom ? MOT · eng_british_Manchester_I/anne25a.cha, line 1433 · Anne 2;06
  11. there we are then . MOT · eng_british_Manchester_I/anne25a.cha, line 1491 · Anne 2;06
  1. MOTit's very similar that game is .
    MOTit's a bit like this game .
    MOT*MOT: are you sure ?
    MOTcan if you want .
    MOTshall we put these pieces back in the box then ?
  2. MOTcan if you want .
    MOTshall we put these pieces back in the box then ?
    MOT*MOT: are you gonna [: going to] help me ?
    CHIyeah .
    MOTcome on then .
  3. MOTAnne .
    MOTput it somewhere safe where we willn't lose it .
    MOT*MOT: are you gonna [: going to] help me do the tummy+ache game ?
    MOTno ?
    MOTshall we find some nice things to eat .
  4. MOTAnnie_Apple .
    INVAnnie_Apple ?
    MOT*MOT: are you going to show Caroline where Annie_Apple is ?
    CHIno .
    MOTno ?
  5. CHIhis babys .
    MOThis babys ?
    MOT*MOT: are his babys in those eggs ,, do you think ?
    MOToh .
    CHIxxx .
  6. CHIdo this picture .
    MOTdo this picture ?
    MOT*MOT: these are the vowel men .
    MOTthere's Mr_A the apron man .
    MOTthink [//] there he is .
  7. MOTyou get your chair and I'll get the pens .
    INVgoing to draw ?
    MOT*MOT: there you are .
    MOThere's the one of the park ,, isn't it ?
    MOTisn't it ?
  8. MOThere ?
    CHIyeah .
    MOT*MOT: are you going to draw you and me sitting on the bench ?
    MOThmm ?
    CHIyes .
  9. MOThave you drawn our picnic ?
    CHIyes .
    MOT*MOT: are you drawing your sausage roll ?
    MOTwow .
    MOTthat's a big sausage roll .
  10. CHIthere .
    MOTis that one done ?
    MOT*MOT: are you gonna [: going to] write his name at the bottom ?
    CHIDippy_Duck .
    MOTthat's it .
  11. MOToh .
    MOTyou want me to do my name first .
    MOT*MOT: there we are then .
    CHIMunching_Mike .
    MOTthere's lots of Munching_Mikes in my name ,, isn't there ?

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_I4.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,35511114.67

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. are11 · 100.0%