PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

18.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (81 utterances, 332 words searched).

  1. let's see where some of the people go . MOT · eng_USA_Bates/steve28.cha, line 13 · Steve 2;04
  2. see the cowboy ? MOT · eng_USA_Bates/steve28.cha, line 101 · Steve 2;04
  3. see # this goes on top # like that ? MOT · eng_USA_Bates/steve28.cha, line 136 · Steve 2;04
  4. see # Noah has two beds like that ? MOT · eng_USA_Bates/steve28.cha, line 146 · Steve 2;04
  5. let's see this +... MOT · eng_USA_Bates/steve28.cha, line 302 · Steve 2;04
  6. can you put that over here so I can see it ? MOT · eng_USA_Bates/steve28.cha, line 332 · Steve 2;04
  1. eng_USA_Bates/steve28.cha, line 13 · Steve, 2;4.
    CHIuh # um .
    MOTdoes that go in there ?
    MOT*MOT: let's see where some of the people go .
    MOTmaybe this is for lying down # I don't know .
    MOTthis is a nice house .
  2. eng_USA_Bates/steve28.cha, line 101 · Steve, 2;4.
    MOTyou want to put some more people [?] in there ?
    MOToh here's a cowboy .
    MOT*MOT: see the cowboy ?
    MOTcowboy hat ?
    CHIno more !
  3. eng_USA_Bates/steve28.cha, line 136 · Steve, 2;4.
    MOTaah this is a bunk [!] bed !
    MOTlook at this !
    MOT*MOT: see # this goes on top # like that ?
    MOTlook at that bunk bed .
    MOTthat's like Noah's bed ?
  4. eng_USA_Bates/steve28.cha, line 146 · Steve, 2;4.
    MOTlook at that bunk bed .
    MOTthat's like Noah's bed ?
    MOT*MOT: see # Noah has two beds like that ?
    MOT(re)member ?
    CHIyeah .
  5. eng_USA_Bates/steve28.cha, line 302 · Steve, 2;4.
    MOThmm .
    CHIxxx .
    MOT*MOT: let's see this +...
    MOTI like this one .
    CHI<I wan(t)> [/] <I wa(nt)> [/] I want it !
  6. eng_USA_Bates/steve28.cha, line 332 · Steve, 2;4.
    CHIyeah .
    MOTthat's a nice one # isn't it ?
    MOT*MOT: can you put that over here so I can see it ?
    MOTno this one .
    MOTput this one on the other side .

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_Bates18.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/steve28.chaSteve 2;4.3326618.07

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. see6 · 100.0%