PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (597 utterances, 2,687 words searched).

  1. well most mice are this color . MOT · eng_british_Manchester_II/ruth20a.cha, line 1590 · Ruth 2;05
  2. can you get black mice ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1614 · Ruth 2;05
  3. you get a lot of white mice . MOT · eng_british_Manchester_II/ruth20a.cha, line 1620 · Ruth 2;05
  4. and you get a lot of brown mice . MOT · eng_british_Manchester_II/ruth20a.cha, line 1622 · Ruth 2;05
  5. but you don't get many black mice . MOT · eng_british_Manchester_II/ruth20a.cha, line 1624 · Ruth 2;05
  6. have you got two mice ? INV · eng_british_Manchester_II/ruth20a.cha, line 1704 · Ruth 2;05
  7. two mice . MOT · eng_british_Manchester_II/ruth20a.cha, line 1728 · Ruth 2;05
  8. one mouse two mice . MOT · eng_british_Manchester_II/ruth20a.cha, line 1732 · Ruth 2;05
  9. or are there two mice in there now ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1738 · Ruth 2;05
  10. shall we read about the little mice here ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1748 · Ruth 2;05
  11. do you know how mice wash themselves ? MOT · eng_british_Manchester_II/ruth20a.cha, line 1842 · Ruth 2;05
  1. MOTblack .
    MOTa little black mouse .
    MOT*MOT: well most mice are this color .
    MOTwhat color's that ?
    CHIpink .
  2. MOTI suppose you can get +//.
    MOTI don't know .
    MOT*MOT: can you get black mice ?
    CHIhuh ?
    MOTyou can have a white mouse .
  3. CHIhuh ?
    MOTyou can have a white mouse .
    MOT*MOT: you get a lot of white mice .
    MOTand you get a lot of brown mice .
    MOTbut you don't get many black mice .
  4. MOTyou can have a white mouse .
    MOTyou get a lot of white mice .
    MOT*MOT: and you get a lot of brown mice .
    MOTbut you don't get many black mice .
    MOTI don't think so .
  5. MOTyou get a lot of white mice .
    MOTand you get a lot of brown mice .
    MOT*MOT: but you don't get many black mice .
    MOTI don't think so .
    MOTthere we go .
  6. CHItwo sock .
    INVyou've got two socks .
    INV*INV: have you got two mice ?
    INVis there one in each sock ?
    CHIthere 0are [*] two in one sock .
  7. CHItwo mouse [*] .
    MOTtwo mouse .
    MOT*MOT: two mice .
    CHIhuh ?
    MOTone mouse two mice .
  8. MOTtwo mice .
    CHIhuh ?
    MOT*MOT: one mouse two mice .
    MOToh .
    MOTis one mouse going in there ?
  9. MOToh .
    MOTis one mouse going in there ?
    MOT*MOT: or are there two mice in there now ?
    CHItwo mouse [*] in there .
    MOToh right .
  10. MOToh right .
    MOTare they together now ?
    MOT*MOT: shall we read about the little mice here ?
    CHImmhm .
    MOTdo you want to read about this little mouse now ?
  11. CHImmhm .
    MOTRuth .
    MOT*MOT: do you know how mice wash themselves ?

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_II4.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth20a.chaRuth 2;5.272,68711114.09

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. mice11 · 100.0%