PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,501 words searched).

  1. then she can have a nice bow . MOT · eng_british_Manchester_II/warr19b.cha, line 414 · Warren 2;04
  2. isn't that a nice bow ? MOT · eng_british_Manchester_II/warr19b.cha, line 416 · Warren 2;04
  3. would Warren like a bow in his hair ? MOT · eng_british_Manchester_II/warr19b.cha, line 422 · Warren 2;04
  4. look at your hair with your bow . MOT · eng_british_Manchester_II/warr19b.cha, line 441 · Warren 2;04
  5. can you pass me the bow please ? MOT · eng_british_Manchester_II/warr19b.cha, line 453 · Warren 2;04
  1. eng_british_Manchester_II/warr19b.cha, line 414 · Warren, 2;4.13
    MOTthat's better .
    MOTcan you redo her hair ?
    MOT*MOT: then she can have a nice bow .
    MOTisn't that a nice bow ?
    CHIput it on .
  2. eng_british_Manchester_II/warr19b.cha, line 416 · Warren, 2;4.13
    MOTcan you redo her hair ?
    MOTthen she can have a nice bow .
    MOT*MOT: isn't that a nice bow ?
    CHIput it on .
    MOTdo you want that in your hair ?
  3. eng_british_Manchester_II/warr19b.cha, line 422 · Warren, 2;4.13
    CHIput it on .
    MOTdo you want that in your hair ?
    MOT*MOT: would Warren like a bow in his hair ?
    CHIxxx .
    MOTI'll see who that is .
  4. eng_british_Manchester_II/warr19b.cha, line 441 · Warren, 2;4.13
    MOTyou look a right duckie .
    MOT<look in the> [/] look in the television .
    MOT*MOT: look at your hair with your bow .
    MOTcan you see it ?
    MOTyou look just like Shirley_Temple .
  5. eng_british_Manchester_II/warr19b.cha, line 453 · Warren, 2;4.13
    MOTthe dolly's hair needs combing really , doesn't it ?
    MOTI've not got a comb .
    MOT*MOT: can you pass me the bow please ?
    MOTcan you pass me the red ribbon ?
    CHIoh this .

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_II3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr19b.chaWarren 2;4.131,501553.33

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. bow5 · 100.0%