PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (462 utterances, 1,610 words searched).

  1. well # why didn't ya say ? MOT · eng_USA_Brown/sarah074.cha, line 279 · Sarah 3;08
  2. say your abcs . ANN · eng_USA_Brown/sarah074.cha, line 1368 · Sarah 3;08
  3. say your abcs for me . ANN · eng_USA_Brown/sarah074.cha, line 1370 · Sarah 3;08
  4. say a@l # b@l # c@l . ANN · eng_USA_Brown/sarah074.cha, line 1374 · Sarah 3;08
  5. Sarah you're say your abcs terrible now . MOT · eng_USA_Brown/sarah074.cha, line 1397 · Sarah 3;08
  6. I can say them good . ANN · eng_USA_Brown/sarah074.cha, line 1400 · Sarah 3;08
  7. huh # say them . ANN · eng_USA_Brown/sarah074.cha, line 1402 · Sarah 3;08
  1. ANNbut I don't like it on this bread .
    ANN# <I'll> [//] I don't want this bread .
    MOT*MOT: well # why didn't ya say ?
    MOTyou could've had it on white bread .
    MOTyou want it on white bread ?
  2. ANNxxx .
    MOTalright ya xxx .
    ANN*ANN: say your abcs .
    ANNsay your abcs for me .
    CHII don't want .
  3. MOTalright ya xxx .
    ANNsay your abcs .
    ANN*ANN: say your abcs for me .
    CHII don't want .
    ANNsay a@l # b@l # c@l .
  4. ANNsay your abcs for me .
    CHII don't want .
    ANN*ANN: say a@l # b@l # c@l .
    MOT0 .
    CHI0 .
  5. CHIq@l # r@l s@l p@l # e@l # r@l # p@l # w@l # x@l # y@l . [+ bch]
    CHIp@l .
    MOT*MOT: Sarah you're say your abcs terrible now .
    ANNI can say them good .
    ANNhuh # say them .
  6. CHIp@l .
    MOTSarah you're say your abcs terrible now .
    ANN*ANN: I can say them good .
    ANNhuh # say them .
    MOTow !
  7. MOTSarah you're say your abcs terrible now .
    ANNI can say them good .
    ANN*ANN: huh # say them .
    MOTow !
    ANNwww .

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. Sarah eng_USA_Brown4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah074.chaSarah 3;8.201,610774.35

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. say7 · 100.0%