PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,593 words searched).

  1. did you get some cards from Tumble_Tots ? INV · eng_british_Manchester_I/becky16a.cha, line 14 · Becky 2;05
  2. can you look for some cheese ? MOT · eng_british_Manchester_I/becky16a.cha, line 337 · Becky 2;05
  3. I can see some socks . MOT · eng_british_Manchester_I/becky16a.cha, line 419 · Becky 2;05
  4. and some eggs . MOT · eng_british_Manchester_I/becky16a.cha, line 640 · Becky 2;05
  5. what about some chickens ? MOT · eng_british_Manchester_I/becky16a.cha, line 1554 · Becky 2;05
  6. let me stick this on and then I'll get some cellotape xxx . MOT · eng_british_Manchester_I/becky16a.cha, line 1774 · Becky 2;05
  1. eng_british_Manchester_I/becky16a.cha, line 14 · Becky, 2;5.08
    MOTnot there now .
    INV*INV: did you get some cards from Tumble_Tots ?
    CHImy piggy .
    MOTgot your piggy ?
  2. eng_british_Manchester_I/becky16a.cha, line 337 · Becky, 2;5.08
    MOTit says which mouse finds cheese ?
    MOTso do you think you might look +...
    MOT*MOT: can you look for some cheese ?
    CHIyeah .
    CHIcheese .
  3. eng_british_Manchester_I/becky16a.cha, line 419 · Becky, 2;5.08
    MOTthey're um [//] they look like leprechaun's booties .
    CHII can't see .
    MOT*MOT: I can see some socks .
    CHIwhere ?
    MOTwell .
  4. eng_british_Manchester_I/becky16a.cha, line 640 · Becky, 2;5.08
    CHIthat's fine .
    MOTcan you see if you can find a chicken .
    MOT*MOT: and some eggs .
    CHIyeah .
    CHIno .
  5. eng_british_Manchester_I/becky16a.cha, line 1554 · Becky, 2;5.08
    CHIxxx .
    CHImore [x 2] .
    MOT*MOT: what about some chickens ?
    CHIchickens .
    CHIoh .
  6. eng_british_Manchester_I/becky16a.cha, line 1774 · Becky, 2;5.08
    MOTput that bit on first .
    MOTthen than +//.
    MOT*MOT: let me stick this on and then I'll get some cellotape xxx .
    MOTlike that ?
    MOTdo you think it goes ?

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. Becky eng_british_Manchester_I3.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky16a.chaBecky 2;5.081,593663.77

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. some6 · 100.0%