PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,874 words searched).

  1. it's your Mickey_Mouse c_d here . MOT · eng_british_Manchester_II/john02a.cha, line 90 · John 1;11
  2. yes it's a snowman here . MOT · eng_british_Manchester_II/john02a.cha, line 167 · John 1;11
  3. what's he got here ? MOT · eng_british_Manchester_II/john02a.cha, line 277 · John 1;11
  4. what's this thing here ? MOT · eng_british_Manchester_II/john02a.cha, line 365 · John 1;11
  5. and what went here ? MOT · eng_british_Manchester_II/john02a.cha, line 460 · John 1;11
  6. what's it got in its arm here ? MOT · eng_british_Manchester_II/john02a.cha, line 1009 · John 1;11
  7. here he is . MOT · eng_british_Manchester_II/john02a.cha, line 1037 · John 1;11
  8. now here's one roller . MOT · eng_british_Manchester_II/john02a.cha, line 1112 · John 1;11
  9. and here's another roller . MOT · eng_british_Manchester_II/john02a.cha, line 1114 · John 1;11
  10. there's lots here , aren't there ? INV · eng_british_Manchester_II/john02a.cha, line 1339 · John 1;11
  1. MOTc_d .
    CHIlike that c_d .
    MOT*MOT: it's your Mickey_Mouse c_d here .
    MOTand Daddy found your other one .
    MOTsomewhere .
  2. CHIman .
    CHIman .
    MOT*MOT: yes it's a snowman here .
    CHIsnow .
    MOTsnowman .
  3. MOTvery good .
    MOTwhat's he holding ?
    MOT*MOT: what's he got here ?
    CHIspade .
    MOTspade .
  4. CHIyellow digger .
    INVa yellow digger yeah .
    MOT*MOT: what's this thing here ?
    MOTwhat's that ?
    CHIroller .
  5. CHIbyebye digger .
    MOTyes .
    MOT*MOT: and what went here ?
    CHIbyebye roller .
    MOTvery good .
  6. MOThe's muddy .
    MOThe's a muddy truck .
    MOT*MOT: what's it got in its arm here ?
    CHIstone .
    MOTmmhm a big stone .
  7. MOTmaybe it's on the last page .
    MOTah ha .
    MOT*MOT: here he is .
    CHIwheel .
    MOTyeah steering wheel .
  8. CHIone fish .
    MOTmmhm .
    MOT*MOT: now here's one roller .
    MOTand here's another roller .
    MOTone two .
  9. MOTmmhm .
    MOTnow here's one roller .
    MOT*MOT: and here's another roller .
    MOTone two .
    CHIno .
  10. CHInut .
    INVoh yes so it is .
    INV*INV: there's lots here , aren't there ?
    CHIbolt .
    INVoh yeah .

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. John eng_british_Manchester_II5.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john02a.chaJohn 1;11.291,87410105.34

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. here10 · 100.0%