PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (337 utterances, 1,289 words searched).

  1. there's a tub there and there's one here . INV · eng_british_Manchester_I/becky14b.cha, line 550 · Becky 2;04
  2. are these <the one's that> [//] the nicest ones here ? MOT · eng_british_Manchester_I/becky14b.cha, line 577 · Becky 2;04
  3. how he managed to get left here ? MOT · eng_british_Manchester_I/becky14b.cha, line 765 · Becky 2;04
  4. here you are . MOT · eng_british_Manchester_I/becky14b.cha, line 1254 · Becky 2;04
  5. it's here . INV · eng_british_Manchester_I/becky14b.cha, line 1516 · Becky 2;04
  6. here . INV · eng_british_Manchester_I/becky14b.cha, line 1525 · Becky 2;04
  7. here he is . MOT · eng_british_Manchester_I/becky14b.cha, line 1602 · Becky 2;04
  8. come here . MOT · eng_british_Manchester_I/becky14b.cha, line 1615 · Becky 2;04
  1. INVthe [//] you mean the tub ?
    INVwell .
    INV*INV: there's a tub there and there's one here .
    CHItub , look .
    MOTare you putting them away ?
  2. CHIxxx .
    MOTdo you like the small ones best then , Becky ?
    MOT*MOT: are these <the one's that> [//] the nicest ones here ?
    CHIyes .
    MOTare they ?
  3. MOTcan you remember what happened to panda last week ?
    CHIno .
    MOT*MOT: how he managed to get left here ?
    MOTdo you remember where he was when you found him ?
    CHII don't know .
  4. CHIwho 0is [*] in here ?
    CHIanimals .
    MOT*MOT: here you are .
    CHIxxx .
    CHIoh my .
  5. MOTpardon ?
    MOTis that a lid ?
    INV*INV: it's here .
    MOTthere's another one under the table for the other tin .
    CHIwhere ?
  6. CHIwhere ?
    MOTunder the table .
    INV*INV: here .
    INVI'll get it .
    MOTthere it is , look .
  7. MOTwhere's the horse gone , Becky ?
    MOToh .
    MOT*MOT: here he is .
    MOTthank you .
    CHIxxx here .
  8. CHIa hat .
    CHIxxx .
    MOT*MOT: come here .
    MOTput it on your head .
    MOTshall we try again ?

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_I6.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky14b.chaBecky 2;4.281,289886.21

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. here8 · 100.0%