PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (501 utterances, 2,056 words searched).

  1. <I've just got it out of the wardrobe> [>] . MOT · eng_british_Manchester_II/nic32b.cha, line 376 · Nicole 2;11
  2. I've rolled it up . MOT · eng_british_Manchester_II/nic32b.cha, line 850 · Nicole 2;11
  3. I've got to wait for it to cool down . MOT · eng_british_Manchester_II/nic32b.cha, line 1079 · Nicole 2;11
  4. when I've got it then I'll have found it . MOT · eng_british_Manchester_II/nic32b.cha, line 1305 · Nicole 2;11
  5. and I've got to cut them all . MOT · eng_british_Manchester_II/nic32b.cha, line 1505 · Nicole 2;11
  1. eng_british_Manchester_II/nic32b.cha, line 376 · Nicole, 2;11.18
    CHIit is .
    MOTit isn't wet .
    MOT*MOT: <I've just got it out of the wardrobe> [>] .
    CHI<it is wet> [<] .
    CHINicole is wet .
  2. eng_british_Manchester_II/nic32b.cha, line 850 · Nicole, 2;11.18
    CHIroll .
    CHIroll it up .
    MOT*MOT: I've rolled it up .
    CHIthat 0is [*] not rolling it up .
    MOToh dear .
  3. eng_british_Manchester_II/nic32b.cha, line 1079 · Nicole, 2;11.18
    MOTno .
    CHIcool then .
    MOT*MOT: I've got to wait for it to cool down .
    MOTalright ?
    MOTdo you feel poorly ?
  4. eng_british_Manchester_II/nic32b.cha, line 1305 · Nicole, 2;11.18
    MOTyou mean what am I looking for .
    MOTnot what am I finding for .
    MOT*MOT: when I've got it then I'll have found it .
    MOTI was looking for my pen .
    CHINicole only joking .
  5. eng_british_Manchester_II/nic32b.cha, line 1505 · Nicole, 2;11.18
    MOTyou've got two .
    MOThaven't you ?
    MOT*MOT: and I've got to cut them all .
    MOTthey are long .
    MOTI didn't realize they were as long as this .

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. Nicole eng_british_Manchester_II2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32b.chaNicole 2;11.182,056552.43

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. i've5 · 100.0%