PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.92 per 1,000 words of the child (CHI), in 1 of 1 transcripts (385 utterances, 785 words searched).

  1. it's my burger . CHI · eng_british_Manchester_II/joel17b.cha, line 37 · Joel 2;04
  2. it's on my knee . CHI · eng_british_Manchester_II/joel17b.cha, line 610 · Joel 2;04
  3. got in my hand . CHI · eng_british_Manchester_II/joel17b.cha, line 786 · Joel 2;04
  4. in my wheelbarrow . CHI · eng_british_Manchester_II/joel17b.cha, line 1161 · Joel 2;04
  5. in my wheelbarrow . CHI · eng_british_Manchester_II/joel17b.cha, line 1173 · Joel 2;04
  6. in my house . CHI · eng_british_Manchester_II/joel17b.cha, line 1205 · Joel 2;04
  7. we got my brush . CHI · eng_british_Manchester_II/joel17b.cha, line 1495 · Joel 2;04
  1. eng_british_Manchester_II/joel17b.cha, line 37 · Joel, 2;4.22
    CHIme [*] beef+burger .
    INVthere's your beef+burger .
    CHI*CHI: it's my burger .
    INVdo you want me to take the lid off ?
    CHIyeah .
  2. eng_british_Manchester_II/joel17b.cha, line 610 · Joel, 2;4.22
    CHIoh .
    CHIthat's a dog .
    CHI*CHI: it's on my knee .
    MOTwww .
    CHIgo there .
  3. eng_british_Manchester_II/joel17b.cha, line 786 · Joel, 2;4.22
    MOTit was the calf , wasn't it ?
    INVyou've got it in your hand .
    CHI*CHI: got in my hand .
    MOTsurprise [x 2] .
    CHIwoof^woof@o .
  4. eng_british_Manchester_II/joel17b.cha, line 1161 · Joel, 2;4.22
    MOTwhat other ones ?
    MOTthey're all in there .
    CHI*CHI: in my wheelbarrow .
    MOTyour wheelbarrow .
    MOToh .
  5. eng_british_Manchester_II/joel17b.cha, line 1173 · Joel, 2;4.22
    CHIxxx .
    CHIthere .
    CHI*CHI: in my wheelbarrow .
    CHIxxx .
    CHIturn round .
  6. eng_british_Manchester_II/joel17b.cha, line 1205 · Joel, 2;4.22
    CHIxxx .
    CHIoh .
    CHI*CHI: in my house .
    CHIoh .
    CHIwhat're you looking at ?
  7. eng_british_Manchester_II/joel17b.cha, line 1495 · Joel, 2;4.22
    MOTgot yours .
    MOTyour baby brush .
    CHI*CHI: we got my brush .
    MOTyeah .
    MOTit's not very good your brush though , is it ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Joel eng_british_Manchester_II8.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel17b.chaJoel 2;4.22785778.92

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. my7 · 100.0%