PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (371 utterances, 1,980 words searched).

  1. who's the lady got in her wheelbarrow now ? MOT · eng_british_Manchester_II/warr15a.cha, line 567 · Warren 2;03
  2. who's in her wheelbarrow ? MOT · eng_british_Manchester_II/warr15a.cha, line 570 · Warren 2;03
  3. are you going to give her a piece of cake as well ? MOT · eng_british_Manchester_II/warr15a.cha, line 830 · Warren 2;03
  4. are you going to take her some chocolate cake ? MOT · eng_british_Manchester_II/warr15a.cha, line 853 · Warren 2;03
  5. I hope Anna had finished all her coffee if you topped her up with tea . MOT · eng_british_Manchester_II/warr15a.cha, line 1068 · Warren 2;03
  6. I hope Anna had finished all her coffee if you topped her up with tea . MOT · eng_british_Manchester_II/warr15a.cha, line 1068 · Warren 2;03
  1. eng_british_Manchester_II/warr15a.cha, line 567 · Warren, 2;3.02
    MOTthey like water as well .
    MOTthey're good swimmers .
    MOT*MOT: who's the lady got in her wheelbarrow now ?
    MOTwho's in her wheelbarrow ?
    CHIthe man .
  2. eng_british_Manchester_II/warr15a.cha, line 570 · Warren, 2;3.02
    MOTthey're good swimmers .
    MOTwho's the lady got in her wheelbarrow now ?
    MOT*MOT: who's in her wheelbarrow ?
    CHIthe man .
    MOTwhy is he in the wheelbarrow do you think ?
  3. eng_british_Manchester_II/warr15a.cha, line 830 · Warren, 2;3.02
    CHIthat one .
    CHIxxx that .
    MOT*MOT: are you going to give her a piece of cake as well ?
    CHIyes .
    CHIhave a piece of cake ?
  4. eng_british_Manchester_II/warr15a.cha, line 853 · Warren, 2;3.02
    MOTgoing to take a piece of cake .
    CHIit's very hot .
    MOT*MOT: are you going to take her some chocolate cake ?
    CHIyes .
    CHItip it all out .
  5. eng_british_Manchester_II/warr15a.cha, line 1068 · Warren, 2;3.02
    CHItea this time .
    MOTwas that tea ?
    MOT*MOT: I hope Anna had finished all her coffee if you topped her up with tea .
    MOTI'm not sure I fancy the idea of tea and coffee mixed .
    CHIhave a drink .

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_II3.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15a.chaWarren 2;3.021,980563.03

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. her6 · 100.0%