PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,502 words searched).

  1. these are like yours xxx but more different ones . MOT · eng_british_Manchester_I/becky01b.cha, line 74 · Becky 2;00
  2. but what are they ? MOT · eng_british_Manchester_I/becky01b.cha, line 340 · Becky 2;00
  3. but that's an orange . MOT · eng_british_Manchester_I/becky01b.cha, line 394 · Becky 2;00
  4. but we've just put this on . MOT · eng_british_Manchester_I/becky01b.cha, line 556 · Becky 2;00
  5. yeah but what's this on top ? MOT · eng_british_Manchester_I/becky01b.cha, line 700 · Becky 2;00
  6. it looks like a ball but it's actually an orange . INV · eng_british_Manchester_I/becky01b.cha, line 1131 · Becky 2;00
  1. eng_british_Manchester_I/becky01b.cha, line 74 · Becky, 2;0.07
    CHIoh fish .
    CHIfish .
    MOT*MOT: these are like yours xxx but more different ones .
    CHIum +/.
    MOTwho's this ?
  2. eng_british_Manchester_I/becky01b.cha, line 340 · Becky, 2;0.07
    CHIshopping .
    MOTshopping .
    MOT*MOT: but what are they ?
    CHIcake .
    MOToh cakes .
  3. eng_british_Manchester_I/becky01b.cha, line 394 · Becky, 2;0.07
    CHIa pear .
    MOTthat's a pear .
    MOT*MOT: but that's an orange .
    CHIxxx .
    CHIa pear .
  4. eng_british_Manchester_I/becky01b.cha, line 556 · Becky, 2;0.07
    MOTyou want that one on now ?
    CHIyeah .
    MOT*MOT: but we've just put this on .
    CHIon .
    MOTso you want this one off ?
  5. eng_british_Manchester_I/becky01b.cha, line 700 · Becky, 2;0.07
    MOTwhat's this ?
    CHIhattie .
    MOT*MOT: yeah but what's this on top ?
    CHIum # xxx .
    MOTit's a bobble .
  6. eng_british_Manchester_I/becky01b.cha, line 1131 · Becky, 2;0.07
    MOTno .
    MOTit's not a ball .
    INV*INV: it looks like a ball but it's actually an orange .
    INVI suppose it can be a ball if you want it to be .
    INVwhat's that ?

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_I3.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01b.chaBecky 2;0.071,502663.99

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. but6 · 100.0%