PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. oh we're going to get a brown here , aren't we ? MOT · eng_british_Manchester_II/ruth15a.cha, line 581 · Ruth 2;04
  2. we've made brown . MOT · eng_british_Manchester_II/ruth15a.cha, line 594 · Ruth 2;04
  3. brown . MOT · eng_british_Manchester_II/ruth15a.cha, line 610 · Ruth 2;04
  4. shall we get some of that nice brown back again ? MOT · eng_british_Manchester_II/ruth15a.cha, line 826 · Ruth 2;04
  5. how do we get the brown ? MOT · eng_british_Manchester_II/ruth15a.cha, line 829 · Ruth 2;04
  6. we have brown tree+trunks . MOT · eng_british_Manchester_II/ruth15a.cha, line 858 · Ruth 2;04
  1. eng_british_Manchester_II/ruth15a.cha, line 581 · Ruth, 2;4.08
    CHIthere , Mama .
    MOTwhat color are we going to get ?
    MOT*MOT: oh we're going to get a brown here , aren't we ?
    MOThmm ?
    MOTlook at that .
  2. eng_british_Manchester_II/ruth15a.cha, line 594 · Ruth, 2;4.08
    CHIhuh ?
    MOTsee that .
    MOT*MOT: we've made brown .
    CHIhuh ?
    MOTlook .
  3. eng_british_Manchester_II/ruth15a.cha, line 610 · Ruth, 2;4.08
    MOTlook at that color .
    CHIbrown .
    MOT*MOT: brown .
    MOTthat's right .
    MOTsee ?
  4. eng_british_Manchester_II/ruth15a.cha, line 826 · Ruth, 2;4.08
    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 ?
  5. eng_british_Manchester_II/ruth15a.cha, line 829 · Ruth, 2;4.08
    CHIhuh ?
    MOTshall we get some of that nice brown back again ?
    MOT*MOT: how do we get the brown ?
    MOTwas it red and green again ?
    MOTlet's do some red here .
  6. eng_british_Manchester_II/ruth15a.cha, line 858 · Ruth, 2;4.08
    MOTthe tree+trunk .
    MOTwe don't have red tree+trunks , don't we not ?
    MOT*MOT: we have brown tree+trunks .
    MOThow's that ?
    MOToh your tree's coming right down , isn't it ?

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_II3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth15a.chaRuth 2;4.081,835663.27

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. brown6 · 100.0%