PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (573 utterances, 2,275 words searched).

  1. who was waving to you ? MOT · eng_british_Manchester_I/becky05a.cha, line 1254 · Becky 2;01
  2. Grandma was waving . MOT · eng_british_Manchester_I/becky05a.cha, line 1258 · Becky 2;01
  3. Mummy was waving . MOT · eng_british_Manchester_I/becky05a.cha, line 1264 · Becky 2;01
  4. and who else was waving ? MOT · eng_british_Manchester_I/becky05a.cha, line 1266 · Becky 2;01
  5. who else was waving to you ? MOT · eng_british_Manchester_I/becky05a.cha, line 1275 · Becky 2;01
  6. was Grandpa waving as well ? MOT · eng_british_Manchester_I/becky05a.cha, line 1282 · Becky 2;01
  7. they're waving to him . MOT · eng_british_Manchester_I/becky05a.cha, line 1350 · Becky 2;01
  8. she's waving . MOT · eng_british_Manchester_I/becky05a.cha, line 1354 · Becky 2;01
  1. CHIboys .
    MOTboys were on the train yes .
    MOT*MOT: who was waving to you ?
    CHIMama .
    MOTGrandma was waving .
  2. MOTwho was waving to you ?
    CHIMama .
    MOT*MOT: Grandma was waving .
    MOTand who else ?
    CHIMummy .
  3. MOTand who else ?
    CHIMummy .
    MOT*MOT: Mummy was waving .
    MOTand who else was waving ?
    CHIJanet .
  4. CHIMummy .
    MOTMummy was waving .
    MOT*MOT: and who else was waving ?
    CHIJanet .
    MOTno .
  5. MOTno .
    MOTJanet wasn't there , was she ?
    MOT*MOT: who else was waving to you ?
    MOTwas it Grandpa ?
    CHIyeah .
  6. MOTwas it Grandpa ?
    CHIyeah .
    MOT*MOT: was Grandpa waving as well ?
    MOTyes .
    CHImore .
  7. MOTno .
    MOTlook .
    MOT*MOT: they're waving to him .
    MOTcan you see ?
    MOTshe's waving .
  8. MOTthey're waving to him .
    MOTcan you see ?
    MOT*MOT: she's waving .
    MOTyeah ?
    CHIwhat doing ?

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. Becky eng_british_Manchester_I3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky05a.chaBecky 2;1.242,275883.52

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. waving8 · 100.0%