PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

11.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (89 utterances, 337 words searched).

  1. oh # let's see if we can make some of these go in ! MOT · eng_USA_Bates/nan20.cha, line 7 · Nan 1;08
  2. shall we close the top # Nan ? MOT · eng_USA_Bates/nan20.cha, line 12 · Nan 1;08
  3. shall we close it and try some this way ? MOT · eng_USA_Bates/nan20.cha, line 23 · Nan 1;08
  4. should we put some people in it ? MOT · eng_USA_Bates/nan20.cha, line 308 · Nan 1;08
  1. MOT*MOT: oh # let's see if we can make some of these go in !
    MOTshall we close the top # Nan ?
    CHIuh .
  2. MOToh # let's see if we can make some of these go in !
    MOT*MOT: shall we close the top # Nan ?
    CHIuh .
    MOTwan(t) (t)a close the top ?
  3. CHIuh .
    MOTwan(t) (t)a close the top ?
    MOT*MOT: shall we close it and try some this way ?
    CHIO .
    MOTsee if it'll go in here .
  4. CHIcar .
    MOTlook !
    MOT*MOT: should we put some people in it ?
    CHIyeah .
    MOTwhere's some people ?

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. Nan eng_USA_Bates11.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan20.chaNan 1;8.3374411.87

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. we4 · 100.0%