PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (287 utterances, 1,125 words searched).

  1. do you want me to get your paper out for you ? MOT · eng_british_Manchester_II/liz27a.cha, line 476 · Liz 2;08
  2. are you gonna [: going to] put the eyes on mine for me ? MOT · eng_british_Manchester_II/liz27a.cha, line 737 · Liz 2;08
  3. me . MOT · eng_british_Manchester_II/liz27a.cha, line 749 · Liz 2;08
  4. is that me with sticky out hair ? MOT · eng_british_Manchester_II/liz27a.cha, line 762 · Liz 2;08
  5. do you want me to do Liz ? MOT · eng_british_Manchester_II/liz27a.cha, line 816 · Liz 2;08
  6. is this for me or for you ? MOT · eng_british_Manchester_II/liz27a.cha, line 877 · Liz 2;08
  1. eng_british_Manchester_II/liz27a.cha, line 476 · Liz, 2;8.14
    MOTyes .
    MOTsure .
    MOT*MOT: do you want me to get your paper out for you ?
    CHIyeah .
    CHII 0am [*] going to wibble@wp off .
  2. eng_british_Manchester_II/liz27a.cha, line 737 · Liz, 2;8.14
    MOTyou're giving yours some eyes , aren't you ?
    MOToh that's nice .
    MOT*MOT: are you gonna [: going to] put the eyes on mine for me ?
    MOToh that one's got big eyes , hasn't it ?
    MOToh: .
  3. eng_british_Manchester_II/liz27a.cha, line 749 · Liz, 2;8.14
    CHIdraw you .
    CHIcan you draw you ?
    MOT*MOT: me .
    CHIwith your own hair .
    MOTmmhm .
  4. eng_british_Manchester_II/liz27a.cha, line 762 · Liz, 2;8.14
    MOTsticking out like that .
    MOTI must have slept funny .
    MOT*MOT: is that me with sticky out hair ?
    CHIyeah .
    MOTyeah .
  5. eng_british_Manchester_II/liz27a.cha, line 816 · Liz, 2;8.14
    MOToh there we go .
    MOThere we go .
    MOT*MOT: do you want me to do Liz ?
    CHIme .
    MOToh you're going to do it .
  6. eng_british_Manchester_II/liz27a.cha, line 877 · Liz, 2;8.14
    CHI<can you can you> [/] can you take it off now ?
    MOTyes love .
    MOT*MOT: is this for me or for you ?
    CHIblack .
    MOTyes .

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. Liz eng_british_Manchester_II5.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz27a.chaLiz 2;8.141,125665.33

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. me6 · 100.0%