PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (495 utterances, 1,624 words searched).

  1. I'm Grandpa as well . MOT · eng_british_Manchester_II/joel34b.cha, line 610 · Joel 2;10
  2. if you're a Grandpa as well . MOT · eng_british_Manchester_II/joel34b.cha, line 622 · Joel 2;10
  3. I'm a Billy_goat_gruff as well . MOT · eng_british_Manchester_II/joel34b.cha, line 684 · Joel 2;10
  4. dolly's going for a drive as well , look . MOT · eng_british_Manchester_II/joel34b.cha, line 1096 · Joel 2;10
  5. that's me as well I think . MOT · eng_british_Manchester_II/joel34b.cha, line 1137 · Joel 2;10
  6. I think you can do it that way as well . INV · eng_british_Manchester_II/joel34b.cha, line 1483 · Joel 2;10
  1. eng_british_Manchester_II/joel34b.cha, line 610 · Joel, 2;10.11
    MOTyou can stand next to Jim .
    CHIwho's that ?
    MOT*MOT: I'm Grandpa as well .
    CHIum two Grandpas , isn't they ?
    MOTis there two called Grandpa ?
  2. eng_british_Manchester_II/joel34b.cha, line 622 · Joel, 2;10.11
    CHIcome on .
    MOTyou'd better stand together then .
    MOT*MOT: if you're a Grandpa as well .
    MOTand who are you ?
    CHII'm horsie .
  3. eng_british_Manchester_II/joel34b.cha, line 684 · Joel, 2;10.11
    MOToh .
    MOTand who are you ?
    MOT*MOT: I'm a Billy_goat_gruff as well .
    MOToh .
    MOTare you big billy+goat and you little billy+goat .
  4. eng_british_Manchester_II/joel34b.cha, line 1096 · Joel, 2;10.11
    CHIlook what you did to my car .
    MOToh .
    MOT*MOT: dolly's going for a drive as well , look .
    CHIcome on , dolly .
    CHIyou [/] you sit in xxx .
  5. eng_british_Manchester_II/joel34b.cha, line 1137 · Joel, 2;10.11
    MOToh .
    MOTyou like this one .
    MOT*MOT: that's me as well I think .
    MOTwww .
    MOTI hope you're remembering to indicate and +...
  6. eng_british_Manchester_II/joel34b.cha, line 1483 · Joel, 2;10.11
    CHIthat xxx , is it ?
    MOTpush it hard .
    INV*INV: I think you can do it that way as well .
    MOTthere you go .
    CHIand now .

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_II3.69
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel34b.chaJoel 2;10.111,624663.69

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. as6 · 100.0%