PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (642 utterances, 2,409 words searched).

  1. we've got that one . MOT · eng_british_Manchester_II/ruth06a.cha, line 523 · Ruth 2;01
  2. we've got that one . MOT · eng_british_Manchester_II/ruth06a.cha, line 525 · Ruth 2;01
  3. we've got that one . MOT · eng_british_Manchester_II/ruth06a.cha, line 531 · Ruth 2;01
  4. we've got plenty here . MOT · eng_british_Manchester_II/ruth06a.cha, line 847 · Ruth 2;01
  5. we've got plenty . MOT · eng_british_Manchester_II/ruth06a.cha, line 849 · Ruth 2;01
  6. we've finished now . MOT · eng_british_Manchester_II/ruth06a.cha, line 877 · Ruth 2;01
  7. well we've done one for Peter . MOT · eng_british_Manchester_II/ruth06a.cha, line 934 · Ruth 2;01
  8. we've not finished yet . MOT · eng_british_Manchester_II/ruth06a.cha, line 1613 · Ruth 2;01
  1. MOTis that enough ?
    CHIyeah .
    MOT*MOT: we've got that one .
    MOTwe've got that one .
    CHIthere .
  2. CHIyeah .
    MOTwe've got that one .
    MOT*MOT: we've got that one .
    CHIthere .
    MOTyeah .
  3. CHIthere .
    MOTyeah .
    MOT*MOT: we've got that one .
    MOTwhich colors have we not got ?
    CHIum there .
  4. MOTno .
    MOTno .
    MOT*MOT: we've got plenty here .
    MOTwe've got plenty .
    MOTlook .
  5. MOTno .
    MOTwe've got plenty here .
    MOT*MOT: we've got plenty .
    MOTlook .
    MOTthere's still loads there .
  6. MOTno .
    MOTno .
    MOT*MOT: we've finished now .
    MOTuse up all this and I might give you some more but you've got plenty , look .
    MOTyou've got loads of white .
  7. MOTwho [//] do you want to do a painting for somebody else ?
    CHIPeter .
    MOT*MOT: well we've done one for Peter .
    MOTyou can do one for somebody else now .
    CHIhuh ?
  8. CHImmhm .
    MOTthat's very clever that .
    MOT*MOT: we've not finished yet .
    MOTyou do a bit of the room then .
    CHIDada .

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_II3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth06a.chaRuth 2;1.102,409883.32

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. we've8 · 100.0%