PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.78 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (442 utterances, 1,586 words searched).

  1. this is a very pretty dress . MOT · eng_british_Manchester_II/ruth14b.cha, line 1113 · Ruth 2;04
  2. have you got a pretty dress on today ? MOT · eng_british_Manchester_II/ruth14b.cha, line 1115 · Ruth 2;04
  3. her dress . MOT · eng_british_Manchester_II/ruth14b.cha, line 1157 · Ruth 2;04
  4. has she done a poo+poo on her dress ? MOT · eng_british_Manchester_II/ruth14b.cha, line 1163 · Ruth 2;04
  5. oh is she's having her dress off again . MOT · eng_british_Manchester_II/ruth14b.cha, line 1182 · Ruth 2;04
  6. I think that goes on this dress , doesn't it ? MOT · eng_british_Manchester_II/ruth14b.cha, line 1222 · Ruth 2;04
  1. eng_british_Manchester_II/ruth14b.cha, line 1113 · Ruth, 2;4.01
    MOThere you are .
    MOTaah .
    MOT*MOT: this is a very pretty dress .
    MOThave you got a pretty dress on today ?
    CHIme on there away .
  2. eng_british_Manchester_II/ruth14b.cha, line 1115 · Ruth, 2;4.01
    MOTaah .
    MOTthis is a very pretty dress .
    MOT*MOT: have you got a pretty dress on today ?
    CHIme on there away .
    MOTright .
  3. eng_british_Manchester_II/ruth14b.cha, line 1157 · Ruth, 2;4.01
    MOTyou what ?
    CHIme <on there> [/] on there .
    MOT*MOT: her dress .
    CHIme away .
    CHIanother poo+poo .
  4. eng_british_Manchester_II/ruth14b.cha, line 1163 · Ruth, 2;4.01
    CHIme away .
    CHIanother poo+poo .
    MOT*MOT: has she done a poo+poo on her dress ?
    CHImmhm .
    MOTwell what about her panties ?
  5. eng_british_Manchester_II/ruth14b.cha, line 1182 · Ruth, 2;4.01
    MOTdo you want to find them ?
    CHImmhm .
    MOT*MOT: oh is she's having her dress off again .
    CHIno .
    CHInice .
  6. eng_british_Manchester_II/ruth14b.cha, line 1222 · Ruth, 2;4.01
    MOTright .
    MOT<who's> [//] <what's> [//] oh that's for +//.
    MOT*MOT: I think that goes on this dress , doesn't it ?
    CHIhuh ?
    MOTdoes it go like +//.

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. Ruth eng_british_Manchester_II3.78
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth14b.chaRuth 2;4.011,586663.78

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. dress6 · 100.0%