PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

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

  1. is that what you're thinking of ? MOT · eng_british_Manchester_I/anne25a.cha, line 233 · Anne 2;06
  2. that's another one that's a bit out of date . MOT · eng_british_Manchester_I/anne25a.cha, line 308 · Anne 2;06
  3. can't think of anything else to do . MOT · eng_british_Manchester_I/anne25a.cha, line 720 · Anne 2;06
  4. look what Mr [//] Eddie_The_Elephant's got lots of . MOT · eng_british_Manchester_I/anne25a.cha, line 822 · Anne 2;06
  5. but we could draw a picture of us at the park . MOT · eng_british_Manchester_I/anne25a.cha, line 1107 · Anne 2;06
  6. here's the one of the park ,, isn't it ? MOT · eng_british_Manchester_I/anne25a.cha, line 1140 · Anne 2;06
  7. you didn't think much of that ,, did you ? MOT · eng_british_Manchester_I/anne25a.cha, line 1159 · Anne 2;06
  8. can I have some of that one ? MOT · eng_british_Manchester_I/anne25a.cha, line 1367 · Anne 2;06
  9. at the beginning of your name ? MOT · eng_british_Manchester_I/anne25a.cha, line 1483 · Anne 2;06
  10. there's lots of Munching_Mikes in my name ,, isn't there ? MOT · eng_british_Manchester_I/anne25a.cha, line 1495 · Anne 2;06
  11. I know what you're thinking of . MOT · eng_british_Manchester_I/anne25a.cha, line 1620 · Anne 2;06
  12. I bet if we had another piece of paper we could do an even huger [*] one . MOT · eng_british_Manchester_I/anne25a.cha, line 1634 · Anne 2;06
  13. on that piece of paper ? MOT · eng_british_Manchester_I/anne25a.cha, line 1656 · Anne 2;06
  14. on top of that little one ? MOT · eng_british_Manchester_I/anne25a.cha, line 1754 · Anne 2;06
  15. looks like lots of dots . MOT · eng_british_Manchester_I/anne25a.cha, line 1772 · Anne 2;06
  1. MOTJohn_Collins ?
    CHIJohn_Collins .
    MOT*MOT: is that what you're thinking of ?
    CHIyeah .
    MOTI thought you might .
  2. CHIwhere's this going ?
    MOTit needs a saucer .
    MOT*MOT: that's another one that's a bit out of date .
    MOThere .
    MOTor a plate .
  3. MOTshall we go shopping ?
    MOTno ?
    MOT*MOT: can't think of anything else to do .
    MOTshall we play with the play+mobile ?
    MOTwell .
  4. MOTit shouldn't be there ,, shouldn't it ?
    MOToh .
    MOT*MOT: look what Mr [//] Eddie_The_Elephant's got lots of .
    CHIhis babys .
    MOTthey're eggs .
  5. MOTyeah ?
    MOT<we could> [//] we drew a park ,, didn't we ?
    MOT*MOT: but we could draw a picture of us at the park .
    CHIyes .
    MOTyeah ?
  6. INVgoing to draw ?
    MOTthere you are .
    MOT*MOT: here's the one of the park ,, isn't it ?
    MOTisn't it ?
    MOTthat we did this morning .
  7. MOTsee if there's anything we missed .
    MOTwe drew the swings .
    MOT*MOT: you didn't think much of that ,, did you ?
    CHIwe didn't do that .
    INVwww .
  8. MOToh .
    MOTyou're gonna [: going to] eat it now you've drawn it .
    MOT*MOT: can I have some of that one ?
    MOTwhere's my sandwich ?
    MOTis that my sandwich ?
  9. MOTwhat shall I write at the beginning then ?
    CHIMunching_Mike .
    MOT*MOT: at the beginning of your name ?
    CHIyou do your name first .
    MOToh .
  10. MOTthere we are then .
    CHIMunching_Mike .
    MOT*MOT: there's lots of Munching_Mikes in my name ,, isn't there ?
    CHIyeah .
    CHIoh .
  11. CHIdo doughing@n .
    MOTwe'll do doughing@n later .
    MOT*MOT: I know what you're thinking of .
    MOTshall we do a very huge Annie_Apple as well ?
    CHIyeah .
  12. CHImmhm .
    MOTis that huge enough for you ?
    MOT*MOT: I bet if we had another piece of paper we could do an even huger [*] one .
    MOThow's that ?
    MOToh .
  13. MOTanother Annie_Apple ?
    MOTwhat ?
    MOT*MOT: on that piece of paper ?
    MOTa different color then .
    MOToh .
  14. CHIdo it again .
    MOTwhat ?
    MOT*MOT: on top of that little one ?
    CHIdo it again .
    MOTyou do it this time .
  15. CHIMunching_Mike .
    MOTis it a Munching_Mike ?
    MOT*MOT: looks like lots of dots .
    MOTdot [x 2] .
    MOTall the way up 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_I6.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,35515156.37

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. of15 · 100.0%