PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (665 utterances, 2,164 words searched).

  1. where's your nose ? MOT · eng_british_Manchester_II/joel03b.cha, line 1276 · Joel 1;11
  2. where's your nose ? MOT · eng_british_Manchester_II/joel03b.cha, line 1278 · Joel 1;11
  3. where's your ears ? MOT · eng_british_Manchester_II/joel03b.cha, line 1308 · Joel 1;11
  4. where's your ears ? MOT · eng_british_Manchester_II/joel03b.cha, line 1310 · Joel 1;11
  5. where's Daddy ? MOT · eng_british_Manchester_II/joel03b.cha, line 1878 · Joel 1;11
  6. where's he gone ? MOT · eng_british_Manchester_II/joel03b.cha, line 1880 · Joel 1;11
  1. CHIMummy .
    MOTtongue .
    MOT*MOT: where's your nose ?
    MOTwhere's your nose ?
    MOTthere .
  2. MOTtongue .
    MOTwhere's your nose ?
    MOT*MOT: where's your nose ?
    MOTthere .
    CHIa bo(o)gie .
  3. MOTyeah .
    MOTlooking a bit trendy, weren't you ?
    MOT*MOT: where's your ears ?
    MOTwhere's your ears ?
    CHIxxx .
  4. MOTlooking a bit trendy, weren't you ?
    MOTwhere's your ears ?
    MOT*MOT: where's your ears ?
    CHIxxx .
    CHIlady .
  5. CHIoh Daddy .
    MOTit's not Daddy .
    MOT*MOT: where's Daddy ?
    MOTwhere's he gone ?
    MOTgone to work ?
  6. MOTit's not Daddy .
    MOTwhere's Daddy ?
    MOT*MOT: where's he gone ?
    MOTgone to work ?
    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. Joel eng_british_Manchester_II2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel03b.chaJoel 1;11.222,164662.77

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. where's6 · 100.0%