PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (671 utterances, 2,669 words searched).

  1. and it's really not got a lot to do with fires either . MOT · eng_british_Manchester_II/ruth29a.cha, line 95 · Ruth 2;09
  2. I think that's a lot . MOT · eng_british_Manchester_II/ruth29a.cha, line 1282 · Ruth 2;09
  3. we'll read this when Anna's gone because there's a lot of words in this book and it'd just be a lot of reading . MOT · eng_british_Manchester_II/ruth29a.cha, line 1386 · Ruth 2;09
  4. …s gone because there's a lot of words in this book and it'd just be a lot of reading . MOT · eng_british_Manchester_II/ruth29a.cha, line 1386 · Ruth 2;09
  5. there's an awful lot of words . MOT · eng_british_Manchester_II/ruth29a.cha, line 1403 · Ruth 2;09
  6. not a lot sometimes . MOT · eng_british_Manchester_II/ruth29a.cha, line 1428 · Ruth 2;09
  7. I think you do a lot of spills but I don't think you did this one . MOT · eng_british_Manchester_II/ruth29a.cha, line 1842 · Ruth 2;09
  1. CHIwhy ?
    MOTnothing to do with birthdays .
    MOT*MOT: and it's really not got a lot to do with fires either .
    CHIno .
    MOTno .
  2. MOTfive people in your tent .
    CHIyeah .
    MOT*MOT: I think that's a lot .
    CHIyeah .
    MOTI don't think we could fit all that in your tent .
  3. MOToh Ruth .
    MOTI tell you what .
    MOT*MOT: we'll read this when Anna's gone because there's a lot of words in this book and it'd just be a lot of reading .
    CHIno .
    MOTno .
  4. MOTum we'll pick up the other one .
    MOTlet's read the other one .
    MOT*MOT: there's an awful lot of words .
    MOTlook .
    MOTthere's lots of words in that .
  5. CHIhere you are .
    CHIlike me ?
    MOT*MOT: not a lot sometimes .
    MOTthis says coming and going .
    CHIwhy ?
  6. MOTwell I don't think it was you , darling .
    CHIwhy ?
    MOT*MOT: I think you do a lot of spills but I don't think you did this one .
    CHIno .
    MOTno .

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_II2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth29a.chaRuth 2;9.092,669672.62

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. lot7 · 100.0%