PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (633 utterances, 2,301 words searched).

  1. doggie's in here . MOT · eng_british_Manchester_I/anne09a.cha, line 759 · Anne 2;00
  2. there's doggie . MOT · eng_british_Manchester_I/anne09a.cha, line 761 · Anne 2;00
  3. knock doggie ? MOT · eng_british_Manchester_I/anne09a.cha, line 770 · Anne 2;00
  4. let's see if we can knock doggie over with the train . MOT · eng_british_Manchester_I/anne09a.cha, line 772 · Anne 2;00
  5. the train crashed into the doggie . MOT · eng_british_Manchester_I/anne09a.cha, line 787 · Anne 2;00
  6. shall we make the train hit doggie ? MOT · eng_british_Manchester_I/anne09a.cha, line 866 · Anne 2;00
  7. the train's hitting doggie now . MOT · eng_british_Manchester_I/anne09a.cha, line 890 · Anne 2;00
  1. MOTis anybody else in there ?
    CHIdoggie's in here .
    MOT*MOT: doggie's in here .
    MOTthere's doggie .
    MOTshall we see if we can knock them over with the train ?
  2. CHIdoggie's in here .
    MOTdoggie's in here .
    MOT*MOT: there's doggie .
    MOTshall we see if we can knock them over with the train ?
    MOTwho shall we knock over ?
  3. MOTwho shall we knock over ?
    CHIknock doggie .
    MOT*MOT: knock doggie ?
    MOTlet's see if we can knock doggie over with the train .
    MOTare you ready ?
  4. CHIknock doggie .
    MOTknock doggie ?
    MOT*MOT: let's see if we can knock doggie over with the train .
    MOTare you ready ?
    MOTready ?
  5. CHIcrash .
    MOTcrash .
    MOT*MOT: the train crashed into the doggie .
    MOToh .
    MOTshall we make train crash into xxx .
  6. MOThere it goes .
    MOTfrom a long way away .
    MOT*MOT: shall we make the train hit doggie ?
    CHIno .
    CHIhere .
  7. MOTknock it over .
    MOTit knocked monkey over ,, didn't it ?
    MOT*MOT: the train's hitting doggie now .
    MOTyou have to put him a little while [//] way away .
    MOThere we go .

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_I3.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09a.chaAnne 2;0.292,301773.04

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. doggie7 · 100.0%