PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.36 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,835 words searched).

  1. that's very nice . MOT · eng_british_Manchester_II/ruth15a.cha, line 709 · Ruth 2;04
  2. that'd be nice . MOT · eng_british_Manchester_II/ruth15a.cha, line 716 · Ruth 2;04
  3. that's nice . MOT · eng_british_Manchester_II/ruth15a.cha, line 743 · Ruth 2;04
  4. very nice . MOT · eng_british_Manchester_II/ruth15a.cha, line 820 · Ruth 2;04
  5. shall we get some of that nice brown back again ? MOT · eng_british_Manchester_II/ruth15a.cha, line 826 · Ruth 2;04
  6. that's a nice tree that . MOT · eng_british_Manchester_II/ruth15a.cha, line 865 · Ruth 2;04
  7. nice . MOT · eng_british_Manchester_II/ruth15a.cha, line 1045 · Ruth 2;04
  8. is it nice ? MOT · eng_british_Manchester_II/ruth15a.cha, line 1047 · Ruth 2;04
  1. MOTis that for Anna ?
    CHImmhm .
    MOT*MOT: that's very nice .
    MOTwould you like to do one for Daddy coming home ?
    CHImmhm .
  2. MOTwould you like to do one for Daddy coming home ?
    CHImmhm .
    MOT*MOT: that'd be nice .
    MOTlet's do one for Daddy coming home .
    CHIfor Anna .
  3. INVthank you .
    INVthat's lovely .
    MOT*MOT: that's nice .
    MOTnow shall we put it down there to dry ?
    MOTAnna likes that .
  4. CHIme .
    MOTmmhm .
    MOT*MOT: very nice .
    MOTnow shall we do the bark ?
    CHIhuh ?
  5. MOTnow shall we do the bark ?
    CHIhuh ?
    MOT*MOT: shall we get some of that nice brown back again ?
    MOThow do we get the brown ?
    MOTwas it red and green again ?
  6. MOThow's that ?
    MOToh your tree's coming right down , isn't it ?
    MOT*MOT: that's a nice tree that .
    CHIthere me .
    MOTdid you do that ?
  7. MOTlet me see that other hand .
    CHInice .
    MOT*MOT: nice .
    MOTis it nice ?
    CHImmhm .
  8. CHInice .
    MOTnice .
    MOT*MOT: is it nice ?
    CHImmhm .
    MOTdid you have a shower with Mummy today ?

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_II4.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth15a.chaRuth 2;4.081,835884.36

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. nice8 · 100.0%