PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 1,651 words searched).

  1. he's a nice doggie , isn't he ? MOT · eng_british_Manchester_I/becky12b.cha, line 85 · Becky 2;03
  2. I don't think he's a baby doggie . MOT · eng_british_Manchester_I/becky12b.cha, line 91 · Becky 2;03
  3. looks like a grown+up doggie to me . MOT · eng_british_Manchester_I/becky12b.cha, line 93 · Becky 2;03
  4. that's not a baby doggie . MOT · eng_british_Manchester_I/becky12b.cha, line 107 · Becky 2;03
  5. a horrible doggie ? MOT · eng_british_Manchester_I/becky12b.cha, line 1741 · Becky 2;03
  6. it's not a horrible doggie . MOT · eng_british_Manchester_I/becky12b.cha, line 1743 · Becky 2;03
  1. eng_british_Manchester_I/becky12b.cha, line 85 · Becky, 2;3.27
    MOTwho's this , Becky ?
    CHIit's doggie .
    MOT*MOT: he's a nice doggie , isn't he ?
    CHIa baby doggie .
    MOTno .
  2. eng_british_Manchester_I/becky12b.cha, line 91 · Becky, 2;3.27
    CHIa baby doggie .
    MOTno .
    MOT*MOT: I don't think he's a baby doggie .
    MOTlooks like a grown+up doggie to me .
    CHIwhere's doggie ?
  3. eng_british_Manchester_I/becky12b.cha, line 93 · Becky, 2;3.27
    MOTno .
    MOTI don't think he's a baby doggie .
    MOT*MOT: looks like a grown+up doggie to me .
    CHIwhere's doggie ?
    CHIwhere's big doggie ?
  4. eng_british_Manchester_I/becky12b.cha, line 107 · Becky, 2;3.27
    CHIthat 0is [*] a baby doggie .
    MOTno .
    MOT*MOT: that's not a baby doggie .
    MOTit's a cow , Becky .
    MOTwho's this ?
  5. eng_british_Manchester_I/becky12b.cha, line 1741 · Becky, 2;3.27
    CHIhorrible doggie please .
    CHIhorrible doggie .
    MOT*MOT: a horrible doggie ?
    MOTit's not a horrible doggie .
    CHIyes .
  6. eng_british_Manchester_I/becky12b.cha, line 1743 · Becky, 2;3.27
    CHIhorrible doggie .
    MOTa horrible doggie ?
    MOT*MOT: it's not a horrible doggie .
    CHIyes .
    CHIit is .

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. Becky eng_british_Manchester_I3.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12b.chaBecky 2;3.271,651663.63

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. doggie6 · 100.0%