PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,521 words searched).

  1. are you pulling dolly out by her hair ? MOT · eng_british_Manchester_II/warr14b.cha, line 53 · Warren 2;02
  2. say hello dolly . MOT · eng_british_Manchester_II/warr14b.cha, line 56 · Warren 2;02
  3. poor dolly . MOT · eng_british_Manchester_II/warr14b.cha, line 86 · Warren 2;02
  4. you want dolly in trousers or a dress ? MOT · eng_british_Manchester_II/warr14b.cha, line 118 · Warren 2;02
  5. dolly's got her dress on just about . MOT · eng_british_Manchester_II/warr14b.cha, line 137 · Warren 2;02
  6. oh we're off dolly now , are we ? MOT · eng_british_Manchester_II/warr14b.cha, line 152 · Warren 2;02
  1. eng_british_Manchester_II/warr14b.cha, line 53 · Warren, 2;2.18
    CHIoh there .
    MOTyeah .
    MOT*MOT: are you pulling dolly out by her hair ?
    MOTsay hello dolly .
    CHIhello .
  2. eng_british_Manchester_II/warr14b.cha, line 56 · Warren, 2;2.18
    MOTyeah .
    MOTare you pulling dolly out by her hair ?
    MOT*MOT: say hello dolly .
    CHIhello .
    MOTis she waving to you ?
  3. eng_british_Manchester_II/warr14b.cha, line 86 · Warren, 2;2.18
    MOTnow pull it off gently .
    MOTthat's it .
    MOT*MOT: poor dolly .
    MOTshe's cold .
    MOTnow is she going to wear a blouse underneath her trousers or just +/.
  4. eng_british_Manchester_II/warr14b.cha, line 118 · Warren, 2;2.18
    MOTnot the trousers .
    CHIdolly trousers .
    MOT*MOT: you want dolly in trousers or a dress ?
    CHIdress .
    MOTokay .
  5. eng_british_Manchester_II/warr14b.cha, line 137 · Warren, 2;2.18
    MOTand the left arm .
    MOTthere you go .
    MOT*MOT: dolly's got her dress on just about .
    CHIput his trousers on .
    MOT<well I don't know whether you can> [//] well I suppose you can put trousers on over a dress .
  6. eng_british_Manchester_II/warr14b.cha, line 152 · Warren, 2;2.18
    MOTmake her bottom look big though .
    MOTshe wouldn't thank you for that .
    MOT*MOT: oh we're off dolly now , are we ?
    MOTshall we put her collar on ?
    CHIput this collar .

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. Warren eng_british_Manchester_II3.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr14b.chaWarren 2;2.181,521663.94

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. dolly6 · 100.0%