PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,603 words searched).

  1. are you going to kiss it better for me ? MOT · eng_british_Manchester_I/becky12a.cha, line 107 · Becky 2;03
  2. <you've never called me Caroline before> [<] . INV · eng_british_Manchester_I/becky12a.cha, line 290 · Becky 2;03
  3. you want me to do it ? MOT · eng_british_Manchester_I/becky12a.cha, line 581 · Becky 2;03
  4. what do you want me to talk about ? MOT · eng_british_Manchester_I/becky12a.cha, line 790 · Becky 2;03
  5. I don't think that one fits me , Becky . MOT · eng_british_Manchester_I/becky12a.cha, line 869 · Becky 2;03
  6. you're going to hurt me . MOT · eng_british_Manchester_I/becky12a.cha, line 907 · Becky 2;03
  7. wave at me . MOT · eng_british_Manchester_I/becky12a.cha, line 1171 · Becky 2;03
  1. CHInot very happy .
    MOTwww .
    MOT*MOT: are you going to kiss it better for me ?
    CHIalright now .
    MOTI'm alright now .
  2. INV<you know who I am , Becky> [<] .
    MOT<you know they're not the same person> [>] .
    INV*INV: <you've never called me Caroline before> [<] .
    MOTyou know they're not the same person , don't you you silly girl .
    CHIyou 0are [*] tickling me .
  3. MOTxxx hard .
    CHIyou pull it .
    MOT*MOT: you want me to do it ?
    CHIyes .
    CHI&a go bang@o .
  4. MOTokay .
    MOTI'm sorry .
    MOT*MOT: what do you want me to talk about ?
    MOTcan you do that ?
    CHIxxx .
  5. CHIdo one that crown .
    MOTno .
    MOT*MOT: I don't think that one fits me , Becky .
    CHIyes .
    CHIyou do .
  6. MOToh .
    MOToh careful .
    MOT*MOT: you're going to hurt me .
    MOTcome on .
    MOTlet's get something else out now .
  7. MOTsmile .
    CHIsay cheese .
    MOT*MOT: wave at me .
    CHIcheese .
    MOTthis is broken , 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. Becky eng_british_Manchester_I4.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12a.chaBecky 2;3.271,603774.37

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. me7 · 100.0%