PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (627 utterances, 2,437 words searched).

  1. I got another yellow Golden_Girl . MOT · eng_british_Manchester_II/ruth32a.cha, line 374 · Ruth 2;10
  2. and another . MOT · eng_british_Manchester_II/ruth32a.cha, line 767 · Ruth 2;10
  3. there's another Poor_Peter . MOT · eng_british_Manchester_II/ruth32a.cha, line 860 · Ruth 2;10
  4. another Poor_Peter . MOT · eng_british_Manchester_II/ruth32a.cha, line 876 · Ruth 2;10
  5. you have mine because I have another one . MOT · eng_british_Manchester_II/ruth32a.cha, line 906 · Ruth 2;10
  6. have I got another one ? MOT · eng_british_Manchester_II/ruth32a.cha, line 972 · Ruth 2;10
  1. eng_british_Manchester_II/ruth32a.cha, line 374 · Ruth, 2;10.23
    CHIyeah .
    MOToh right .
    MOT*MOT: I got another yellow Golden_Girl .
    CHI<I have> [/] I have that yellow one .
    MOTplease .
  2. eng_british_Manchester_II/ruth32a.cha, line 767 · Ruth, 2;10.23
    CHII 0have [*] got lots of them .
    MOThave you .
    MOT*MOT: and another .
    MOTfive .
    MOTnow +...
  3. eng_british_Manchester_II/ruth32a.cha, line 860 · Ruth, 2;10.23
    CHIbecause like being Poor_Peter .
    CHIthere 0is [*] another Poor_Peter .
    MOT*MOT: there's another Poor_Peter .
    MOTexcuse me .
    MOTthat is my Poor_Peter .
  4. eng_british_Manchester_II/ruth32a.cha, line 876 · Ruth, 2;10.23
    MOTthere you go .
    MOTthere .
    MOT*MOT: another Poor_Peter .
    CHIoh dear me .
    CHIxxx .
  5. eng_british_Manchester_II/ruth32a.cha, line 906 · Ruth, 2;10.23
    MOTI'll give you one of mine then .
    MOTthere you go .
    MOT*MOT: you have mine because I have another one .
    MOTI have two in fact .
    MOToh .
  6. eng_british_Manchester_II/ruth32a.cha, line 972 · Ruth, 2;10.23
    MOTaah one more .
    MOTyou've got lots and lots .
    MOT*MOT: have I got another one ?
    MOTwe've got lots of Annie_Apples .
    MOToh a Naughty_Nick .

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. Ruth eng_british_Manchester_II2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth32a.chaRuth 2;10.232,437662.46

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. another6 · 100.0%