PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. how can we make a +... MOT · eng_USA_Bates/doug28.cha, line 52 · Doug 2;04
  2. how (a)bout the other one ? MOT · eng_USA_Bates/doug28.cha, line 200 · Doug 2;04
  3. not when you know how to do it ? MOT · eng_USA_Bates/doug28.cha, line 239 · Doug 2;04
  4. how many of those do you have ? MOT · eng_USA_Bates/doug28.cha, line 243 · Doug 2;04
  1. eng_USA_Bates/doug28.cha, line 52 · Doug, 2;4.
    MOTand close them [?] that way ?
    MOTlet's see .
    MOT*MOT: how can we make a +...
    MOTcan we make a little house ?
    CHIyeah .
  2. eng_USA_Bates/doug28.cha, line 200 · Doug, 2;4.
    MOTthank you .
    CHIhuh .
    MOT*MOT: how (a)bout the other one ?
    CHIwhat's this ?
    MOTthose are balls in there .
  3. eng_USA_Bates/doug28.cha, line 239 · Doug, 2;4.
    CHIno !
    MOTno ?
    MOT*MOT: not when you know how to do it ?
    CHInot these .
    MOThow many of those do you have ?
  4. eng_USA_Bates/doug28.cha, line 243 · Doug, 2;4.
    MOTnot when you know how to do it ?
    CHInot these .
    MOT*MOT: how many of those do you have ?
    CHIthree .
    MOTthree [!] ?

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_Bates11.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/doug28.chaDoug 2;4.3594411.14

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. how4 · 100.0%