PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (592 utterances, 2,065 words searched).

  1. there's crayons and pencils . MOT · eng_british_Manchester_II/ruth06b.cha, line 431 · Ruth 2;01
  2. there's another one here . MOT · eng_british_Manchester_II/ruth06b.cha, line 1004 · Ruth 2;01
  3. well there's the baba tiger . MOT · eng_british_Manchester_II/ruth06b.cha, line 1058 · Ruth 2;01
  4. there's a Mama , isn't it ? MOT · eng_british_Manchester_II/ruth06b.cha, line 1199 · Ruth 2;01
  5. oh there's another pig . MOT · eng_british_Manchester_II/ruth06b.cha, line 1359 · Ruth 2;01
  6. there's one missing , isn't there ? MOT · eng_british_Manchester_II/ruth06b.cha, line 1622 · Ruth 2;01
  7. there's another one . MOT · eng_british_Manchester_II/ruth06b.cha, line 1706 · Ruth 2;01
  8. there's too many things in this . MOT · eng_british_Manchester_II/ruth06b.cha, line 1768 · Ruth 2;01
  1. MOTyes well we don't want that all over baba , do we ?
    MOTshe can draw , look .
    MOT*MOT: there's crayons and pencils .
    CHIoh: .
    MOTdo it the other way , look .
  2. MOTit's a giraffe .
    CHIMama .
    MOT*MOT: there's another one here .
    CHIMama .
    MOTthere .
  3. MOTwatch yourself .
    CHIMama .
    MOT*MOT: well there's the baba tiger .
    MOTwhere's his Mummy ?
    MOTthat's right .
  4. MOTand look .
    MOTwhat else I've found .
    MOT*MOT: there's a Mama , isn't it ?
    CHIno .
    CHIa Dada .
  5. CHIhuh ?
    MOTI don't think we have a little calf in here .
    MOT*MOT: oh there's another pig .
    CHIoh .
    MOTthere .
  6. MOThey ?
    MOTbig bossy+boots .
    MOT*MOT: there's one missing , isn't there ?
    MOTwhere's the bit that goes in there ?
    MOTthere .
  7. MOTwhat pet ?
    CHIbaba .
    MOT*MOT: there's another one .
    CHIAnna .
    MOTis that Anna's ?
  8. MOTright .
    MOTwhat're you looking for now ?
    MOT*MOT: there's too many things in this .
    MOTthat's it .
    MOTshe needs a plate , doesn't she ?

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_II3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth06b.chaRuth 2;1.102,065883.87

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. there's8 · 100.0%