PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (491 utterances, 1,959 words searched).

  1. all tigers have to be nice . MOT · eng_british_Manchester_II/ruth24b.cha, line 47 · Ruth 2;07
  2. we'll have to get her hair nice and tidy again . MOT · eng_british_Manchester_II/ruth24b.cha, line 1166 · Ruth 2;07
  3. shall we get her hair nice and tidy ? MOT · eng_british_Manchester_II/ruth24b.cha, line 1171 · Ruth 2;07
  4. shall I make her hair nice and tidy ? MOT · eng_british_Manchester_II/ruth24b.cha, line 1415 · Ruth 2;07
  5. we want nice neat hair , do we ? MOT · eng_british_Manchester_II/ruth24b.cha, line 1425 · Ruth 2;07
  6. <has that rabbit got> [//] is that rabbit nice and thin , Ruth ? MOT · eng_british_Manchester_II/ruth24b.cha, line 1646 · Ruth 2;07
  1. CHIno .
    CHInice .
    MOT*MOT: all tigers have to be nice .
    MOTnot allowed to be fierce .
    INVI should hope so too .
  2. MOTthat's right .
    MOTthere .
    MOT*MOT: we'll have to get her hair nice and tidy again .
    CHIhuh ?
    MOTshall we get her hair nice and tidy ?
  3. MOTwe'll have to get her hair nice and tidy again .
    CHIhuh ?
    MOT*MOT: shall we get her hair nice and tidy ?
    CHIno .
    MOTno ?
  4. MOTHeidi wants her Daddy back .
    MOTMummy's gonna [: going to] plait her hair now .
    MOT*MOT: shall I make her hair nice and tidy ?
    CHIno .
    MOToh we don't want big untidy hair , do we ?
  5. MOToh we don't want big untidy hair , do we ?
    CHIwhat ?
    MOT*MOT: we want nice neat hair , do we ?
    CHIwhat ?
    MOTwhat ?
  6. CHImmhm .
    CHIxxx .
    MOT*MOT: <has that rabbit got> [//] is that rabbit nice and thin , Ruth ?
    CHIhuh ?
    MOTis that rabbit a thin rabbit ?

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_II3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth24b.chaRuth 2;7.171,959663.06

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. nice6 · 100.0%