PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

7.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,199 words searched).

  1. MOTthere .
    MOTthat's it .
    MOT*MOT: oh .
    MOTnearly .
    CHInearly .
  2. INVa cake ?
    CHIyeah .
    INV*INV: oh .
    MOTshall I sit them here ?
    CHIwhere ?
  3. CHIno .
    CHIthis bread .
    MOT*MOT: oh .
    MOTyou want that bread , do you ?
    MOTcrusty loaf .
  4. CHInot touch it .
    CHIand naughty .
    MOT*MOT: oh .
    MOToh .
    MOTthat hurt me .
  5. CHIand naughty .
    MOToh .
    MOT*MOT: oh .
    MOTthat hurt me .
    MOTkiss it better .
  6. CHINicole don't like it .
    MOTdon't you ?
    MOT*MOT: oh .
    CHIxxx .
    CHIget a pram up here .
  7. CHICaroline want to look at my knickers .
    INVdo I ?
    INV*INV: oh right .
    INVoh lovely .
    MOTI don't think Caroline really does .
  8. INVdo I ?
    INVoh right .
    INV*INV: oh lovely .
    MOTI don't think Caroline really does .
    MOTit's something you don't show people , Nicole .
  9. MOTyou're gonna [: going to] hurt yourself doing that .
    MOTow .
    MOT*MOT: oh .
    MOTdon't .
    MOTdon't .
  10. MOTcan you ?
    CHIyeah .
    MOT*MOT: oh .
    MOTyou'd know I suppose .
    MOTin fact her [/] her jumper looks rather dirty , doesn't it ?
  11. CHIyes .
    CHIyes please .
    MOT*MOT: oh .
    CHIyes please .
    MOTxxx .
  12. CHIwait [/] waiting angry .
    MOTare you waiting angrily ?
    MOT*MOT: oh right .
    MOTfine .
    MOTcarry on being angry then .
  13. CHIxxx .
    CHIyeah ?
    MOT*MOT: oh no .
    MOTI don't want that .
    MOTwant a green ?
  14. INVyeah .
    CHINicole 0is [*] drawing a person .
    INV*INV: oh excellent .
    CHIand come and me drawing .
    INVpardon ?
  15. MOTshall we do that again ?
    CHIno .
    MOT*MOT: oh .
    CHIxxx .
    MOTright .
  16. MOTif she does a somersault you'll end up straight in Caroline's lap .
    MOThmm ?
    INV*INV: oh .
    INV<that's a> [/] that's a thought , isn't it ?
    MOTmmhm .

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. Nicole eng_british_Manchester_II7.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic29a.chaNicole 2;10.222,19916167.28

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. oh16 · 100.0%