PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

8.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (80 utterances, 359 words searched).

  1. well # we're all done working with the little baby right now . MOT · eng_USA_Bates/doug28.cha, line 98 · Doug 2;04
  2. the little baby +... MOT · eng_USA_Bates/doug28.cha, line 102 · Doug 2;04
  3. we might see a baby later . MOT · eng_USA_Bates/doug28.cha, line 104 · Doug 2;04
  1. eng_USA_Bates/doug28.cha, line 98 · Doug, 2;4.
    CHI0 .
    CHIwhere's the little baby ?
    MOT*MOT: well # we're all done working with the little baby right now .
    MOTthe little baby +...
    MOTwe might see a baby later .
  2. eng_USA_Bates/doug28.cha, line 102 · Doug, 2;4.
    CHIwhere's the little baby ?
    MOTwell # we're all done working with the little baby right now .
    MOT*MOT: the little baby +...
    MOTwe might see a baby later .
    MOTcan you find all those shapes ?
  3. eng_USA_Bates/doug28.cha, line 104 · Doug, 2;4.
    MOTwell # we're all done working with the little baby right now .
    MOTthe little baby +...
    MOT*MOT: we might see a baby later .
    MOTcan you find all those shapes ?
    MOTthere's one way over there .

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. Doug eng_USA_Bates8.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/doug28.chaDoug 2;4.359338.36

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. baby3 · 100.0%