PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (516 utterances, 2,066 words searched).

  1. what's this ? MOT · eng_british_Manchester_II/nic29b.cha, line 147 · Nicole 2;10
  2. what's the other one ? MOT · eng_british_Manchester_II/nic29b.cha, line 254 · Nicole 2;10
  3. what's in the baby's bottle ? MOT · eng_british_Manchester_II/nic29b.cha, line 442 · Nicole 2;10
  4. what's your favorite fruit ? MOT · eng_british_Manchester_II/nic29b.cha, line 503 · Nicole 2;10
  5. what's that there ? MOT · eng_british_Manchester_II/nic29b.cha, line 1144 · Nicole 2;10
  6. what's that ? MOT · eng_british_Manchester_II/nic29b.cha, line 1165 · Nicole 2;10
  7. what's that ? MOT · eng_british_Manchester_II/nic29b.cha, line 1171 · Nicole 2;10
  8. what's this ? MOT · eng_british_Manchester_II/nic29b.cha, line 1181 · Nicole 2;10
  1. MOTaren't [/] aren't these your knees ?
    CHIno .
    MOT*MOT: what's this ?
    CHIxxx .
    MOTwhat is it ?
  2. MOToh .
    MOTthere's +//.
    MOT*MOT: what's the other one ?
    MOThead shoulders knees and toes ?
    CHIyeah .
  3. MOTwhat color's that ?
    CHIpink .
    MOT*MOT: what's in the baby's bottle ?
    CHII don't know .
    MOTlooks like orange to me .
  4. MOTwhat [/] what other fruit do you like ?
    MOTbeside [/] besides plums .
    MOT*MOT: what's your favorite fruit ?
    CHINicole don't know .
    MOTwhat do you like the best ?
  5. MOThe's a dirty pig , look , isn't he ?
    MOTwhat a dirty face he's got .
    MOT*MOT: what's that there ?
    CHIegg .
    MOTwhat is it ?
  6. CHIwhat's that ?
    MOTI think it's supposed to be chocolate all over his face .
    MOT*MOT: what's that ?
    MOTlooks like a sock to me .
    MOTdoes it to you ?
  7. MOTlooks like a sock to me .
    MOTdoes it to you ?
    MOT*MOT: what's that ?
    MOTwhat is it , Nicole ?
    MOTcan you tell Mummy what it is ?
  8. CHIno .
    CHIxxx .
    MOT*MOT: what's this ?
    CHIringading@o .
    MOTit's the bell , isn't it ?

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_II3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic29b.chaNicole 2;10.222,066883.87

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. what's8 · 100.0%