PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

31.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (76 utterances, 157 words searched).

  1. hey # look at this one . MOT · eng_USA_Bates/steve20.cha, line 33 · Steve 1;08
  2. look at this one [?] . MOT · eng_USA_Bates/steve20.cha, line 118 · Steve 1;08
  3. <here # we got this one # too> [<] . MOT · eng_USA_Bates/steve20.cha, line 276 · Steve 1;08
  4. wan(t) (t)a put this one in that one ? MOT · eng_USA_Bates/steve20.cha, line 278 · Steve 1;08
  5. wan(t) (t)a put this one in that one ? MOT · eng_USA_Bates/steve20.cha, line 278 · Steve 1;08
  1. eng_USA_Bates/steve20.cha, line 33 · Steve, 1;8.
    MOTall+gone .
    INVgo play with the toys .
    MOT*MOT: hey # look at this one .
    INVI'll see you later .
    CHI0 .
  2. eng_USA_Bates/steve20.cha, line 118 · Steve, 1;8.
    CHIbed .
    MOTyeah .
    MOT*MOT: look at this one [?] .
    MOTlook at that # two beds !
    MOTlook !
  3. eng_USA_Bates/steve20.cha, line 276 · Steve, 1;8.
    MOTwhat's that ?
    CHIyyy [>] .
    MOT*MOT: <here # we got this one # too> [<] .
    MOTwan(t) (t)a put this one in that one ?
    MOThere .
  4. eng_USA_Bates/steve20.cha, line 278 · Steve, 1;8.
    CHIyyy [>] .
    MOT<here # we got this one # too> [<] .
    MOT*MOT: wan(t) (t)a put this one in that one ?
    MOThere .
    CHIyyy !

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. Steve eng_USA_Bates31.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/steve20.chaSteve 1;8.1574531.85

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. one5 · 100.0%