PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (646 utterances, 2,265 words searched).

  1. she says oh delicious . MOT · eng_british_Manchester_I/anne13b.cha, line 56 · Anne 2;02
  2. Caitlin says she doesn't want it now . MOT · eng_british_Manchester_I/anne13b.cha, line 254 · Anne 2;02
  3. and this dolly says she'd like some sweet+corn please . MOT · eng_british_Manchester_I/anne13b.cha, line 273 · Anne 2;02
  4. Caitlin says she'd like some bananas now . MOT · eng_british_Manchester_I/anne13b.cha, line 320 · Anne 2;02
  5. it says Soft_Stuff . MOT · eng_british_Manchester_I/anne13b.cha, line 575 · Anne 2;02
  6. I want to go in that little hole he says . MOT · eng_british_Manchester_I/anne13b.cha, line 1113 · Anne 2;02
  7. what about me says the cow . MOT · eng_british_Manchester_I/anne13b.cha, line 1387 · Anne 2;02
  1. MOTI should take it out of your mouth though .
    MOTthere you are .
    MOT*MOT: she says oh delicious .
    CHIxxx .
    CHIwhat's that ?
  2. MOToh no .
    MOTit's been on +//.
    MOT*MOT: Caitlin says she doesn't want it now .
    MOTit's been on the floor .
    MOTare you going to peel it for her ?
  3. CHIxxx .
    MOTyou're having chicken ,, are you ?
    MOT*MOT: and this dolly says she'd like some sweet+corn please .
    CHIthere you go .
    MOTthank you .
  4. CHIxxx .
    MOTright .
    MOT*MOT: Caitlin says she'd like some bananas now .
    CHIwhere's your nummy@c .
    MOTpardon ?
  5. MOTwriting ,, isn't it ?
    MOTdoes it say your name ?
    MOT*MOT: it says Soft_Stuff .
    CHIgo down here .
    MOTgoing down there ,, is it ?
  6. CHIyeah .
    MOTthe monkey wants to go in that +//.
    MOT*MOT: I want to go in that little hole he says .
    MOToh .
    MOTthere we go .
  7. MOTwhat about me ?
    MOTwhat about me ?
    MOT*MOT: what about me says the cow .
    CHIxxx .
    MOToh .

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_I3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne13b.chaAnne 2;2.102,265773.09

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. says7 · 100.0%