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. are you going to put cows in ? MOT · eng_british_Manchester_II/warr19b.cha, line 503 · Warren 2;04
  2. are you making the gates so that the cows can get in and out ? MOT · eng_british_Manchester_II/warr19b.cha, line 756 · Warren 2;04
  3. shall we see if we can find some more cows ? MOT · eng_british_Manchester_II/warr19b.cha, line 770 · Warren 2;04
  4. find some more cows . MOT · eng_british_Manchester_II/warr19b.cha, line 795 · Warren 2;04
  5. some cows have horns as well . MOT · eng_british_Manchester_II/warr19b.cha, line 833 · Warren 2;04
  1. eng_british_Manchester_II/warr19b.cha, line 503 · Warren, 2;4.13
    MOTthere's the big board .
    MOTwho are you going to put in the field ?
    MOT*MOT: are you going to put cows in ?
    CHIyes .
    MOTor the sheep .
  2. eng_british_Manchester_II/warr19b.cha, line 756 · Warren, 2;4.13
    CHIthere's animals little fields .
    CHIthere's a little gate .
    MOT*MOT: are you making the gates so that the cows can get in and out ?
    MOTthat's a good idea , isn't it ?
    CHIwhere 0are [*] the cows .
  3. eng_british_Manchester_II/warr19b.cha, line 770 · Warren, 2;4.13
    MOTthere's one cow .
    CHIsay moo@o .
    MOT*MOT: shall we see if we can find some more cows ?
    MOToh .
    MOTis that a cow ?
  4. eng_british_Manchester_II/warr19b.cha, line 795 · Warren, 2;4.13
    CHIwhat's this ?
    MOTits nose .
    MOT*MOT: find some more cows .
    MOTis this a cow ?
    MOTwell that's a bull but that'll do .
  5. eng_british_Manchester_II/warr19b.cha, line 833 · Warren, 2;4.13
    CHIhorns .
    MOThorns .
    MOT*MOT: some cows have horns as well .
    MOTthere's another cow .
    MOTit's a brown and white cow .

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. cows5 · 100.0%