PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (614 utterances, 2,573 words searched).

  1. and what are you making for your baby ? MOT · eng_british_Manchester_II/nic04a.cha, line 302 · Nicole 2;01
  2. when you were [= actually said was] a baby . MOT · eng_british_Manchester_II/nic04a.cha, line 429 · Nicole 2;01
  3. a baby ? INV · eng_british_Manchester_II/nic04a.cha, line 689 · Nicole 2;01
  4. what's baby's name ? MOT · eng_british_Manchester_II/nic04a.cha, line 691 · Nicole 2;01
  5. that baby's name ? MOT · eng_british_Manchester_II/nic04a.cha, line 693 · Nicole 2;01
  6. baby . MOT · eng_british_Manchester_II/nic04a.cha, line 792 · Nicole 2;01
  7. Mummy's baby . MOT · eng_british_Manchester_II/nic04a.cha, line 794 · Nicole 2;01
  8. can Mummy's baby count ? MOT · eng_british_Manchester_II/nic04a.cha, line 796 · Nicole 2;01
  1. MOTwhat are you making ?
    CHIbaby .
    MOT*MOT: and what are you making for your baby ?
    CHIxxx .
    MOTis it ?
  2. MOTphotograph xxx .
    MOTthat's a photograph of you and Daddy , isn't it ?
    MOT*MOT: when you were [= actually said was] a baby .
    CHIyeah .
    CHIa baby .
  3. INVwho's in the pram ?
    CHIa baby .
    INV*INV: a baby ?
    MOTwhat's baby's name ?
    MOTthat baby's name ?
  4. CHIa baby .
    INVa baby ?
    MOT*MOT: what's baby's name ?
    MOTthat baby's name ?
    MOTcan you remember ?
  5. INVa baby ?
    MOTwhat's baby's name ?
    MOT*MOT: that baby's name ?
    MOTcan you remember ?
    CHIyeah .
  6. CHIbaby .
    MOTyeah .
    MOT*MOT: baby .
    MOTMummy's baby .
    MOTcan Mummy's baby count ?
  7. MOTyeah .
    MOTbaby .
    MOT*MOT: Mummy's baby .
    MOTcan Mummy's baby count ?
    MOTone [>] .
  8. MOTbaby .
    MOTMummy's baby .
    MOT*MOT: can Mummy's baby count ?
    MOTone [>] .
    CHIno [<] .

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_II3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04a.chaNicole 2;1.222,573883.11

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. baby8 · 100.0%