PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (552 utterances, 2,243 words searched).

  1. <that's very good> [<] . MOT · eng_british_Manchester_I/becky04a.cha, line 63 · Becky 2;01
  2. it's not very good for your teeth , is it ? MOT · eng_british_Manchester_I/becky04a.cha, line 320 · Becky 2;01
  3. what a good girl am I . MOT · eng_british_Manchester_I/becky04a.cha, line 355 · Becky 2;01
  4. what a good boy am I . MOT · eng_british_Manchester_I/becky04a.cha, line 383 · Becky 2;01
  5. very good . INV · eng_british_Manchester_I/becky04a.cha, line 387 · Becky 2;01
  6. good job it's not a real one . MOT · eng_british_Manchester_I/becky04a.cha, line 728 · Becky 2;01
  7. this is a good book to look at . MOT · eng_british_Manchester_I/becky04a.cha, line 1224 · Becky 2;01
  1. CHIoh .
    CHI<oh no> [>] .
    MOT*MOT: <that's very good> [<] .
    MOTwhat's happened to this ?
    MOThave you got crayon in it ?
  2. MOTdo you like sugar , Becky ?
    CHIyes .
    MOT*MOT: it's not very good for your teeth , is it ?
    MOTit makes them fall out .
    MOTmake your teeth all fall out .
  3. MOTplum pie ?
    CHIwhat a good girl am I .
    MOT*MOT: what a good girl am I .
    MOTcan you sing the whole song for us ?
    MOTcan you sing the whole song , Becky ?
  4. MOTand he said .
    CHIwhat am I .
    MOT*MOT: what a good boy am I .
    CHIclap .
    INVvery good .
  5. MOTwhat a good boy am I .
    CHIclap .
    INV*INV: very good .
    INVwell done .
    MOToh thank you .
  6. MOTare you going to take some photies [: photosie] [*] with it ?
    MOTgo on then ?
    MOT*MOT: good job it's not a real one .
    MOTtake a picture of Sukie now .
    CHISukie .
  7. MOTnot .
    MOTwhat about this book though .
    MOT*MOT: this is a good book to look at .
    CHIno .
    MOTno ?

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. Becky eng_british_Manchester_I3.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky04a.chaBecky 2;1.112,243773.12

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. good7 · 100.0%