PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (520 utterances, 1,846 words searched).

  1. I think you want a bridge making , don't you like we made last time we had the Duplo . MOT · eng_british_Manchester_II/nic03b.cha, line 48 · Nicole 2;01
  2. you don't throw things like that . MOT · eng_british_Manchester_II/nic03b.cha, line 390 · Nicole 2;01
  3. you'll never do it like that . MOT · eng_british_Manchester_II/nic03b.cha, line 758 · Nicole 2;01
  4. shall I wrap you up like a baby ? MOT · eng_british_Manchester_II/nic03b.cha, line 1135 · Nicole 2;01
  5. shall we wrap you up like a baby ? MOT · eng_british_Manchester_II/nic03b.cha, line 1143 · Nicole 2;01
  6. you want me to wrap you up like a baby ? MOT · eng_british_Manchester_II/nic03b.cha, line 1195 · Nicole 2;01
  7. you look like that +/. MOT · eng_british_Manchester_II/nic03b.cha, line 1208 · Nicole 2;01
  1. CHIthat .
    CHIthat .
    MOT*MOT: I think you want a bridge making , don't you like we made last time we had the Duplo .
    CHIyeah .
    MOTis that what you're after ?
  2. MOTxxx .
    MOTno .
    MOT*MOT: you don't throw things like that .
    CHIxxx .
    CHIow .
  3. MOTsee if Nicole can put the hat on dolly's head .
    MOTno .
    MOT*MOT: you'll never do it like that .
    MOTyou have to be gentle .
    CHIMummy .
  4. MOTwhere are you ?
    MOTare you going to wrap yourself up ?
    MOT*MOT: shall I wrap you up like a baby ?
    CHIyeah .
    MOTgo on then .
  5. MOTgo on then .
    CHIxxx .
    MOT*MOT: shall we wrap you up like a baby ?
    CHIyeah .
    MOTstand up a minute then .
  6. CHIagain .
    CHIagain .
    MOT*MOT: you want me to wrap you up like a baby ?
    CHIyeah .
    MOTput your arms down then because babys <are whatsiname> [//] are swaddled .
  7. MOTbe a funny swaddling .
    MOTthere .
    MOT*MOT: you look like that +/.
    MOTdon't [/] don't squeal .
    MOTdon't squeal .

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_II3.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic03b.chaNicole 2;1.151,846773.79

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. like7 · 100.0%