PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

7.68 per 1,000 words of the child (CHI), in 1 of 1 transcripts (285 utterances, 912 words searched).

  1. (a)n(d) <what's de> [/] # what's de man's name today # Wollen(sak) still ? CHI · eng_USA_Brown/sarah120.cha, line 128 · Sarah 4;08
  2. (a)n(d) <what's de> [/] # what's de man's name today # Wollen(sak) still ? CHI · eng_USA_Brown/sarah120.cha, line 128 · Sarah 4;08
  3. I was cuttin(g) de right thing . CHI · eng_USA_Brown/sarah120.cha, line 207 · Sarah 4;08
  4. I was cuttin(g) de right thing . CHI · eng_USA_Brown/sarah120.cha, line 209 · Sarah 4;08
  5. dat's de <mean old> [/] # mean old witch . CHI · eng_USA_Brown/sarah120.cha, line 497 · Sarah 4;08
  6. dis is de clown mask . CHI · eng_USA_Brown/sarah120.cha, line 923 · Sarah 4;08
  7. dis is de clown . CHI · eng_USA_Brown/sarah120.cha, line 929 · Sarah 4;08
  1. CHIwhat does zis spell ?
    MELsame thing .
    CHI*CHI: (a)n(d) <what's de> [/] # what's de man's name today # Wollen(sak) still ?
    MELWollensak .
    CHIWollensak ?
  2. CHIbig women .
    CHIcuttin(g) the right thing .
    CHI*CHI: I was cuttin(g) de right thing .
    CHII was cuttin(g) de right thing .
    CHIyou watch dis # ok ?
  3. CHIcuttin(g) the right thing .
    CHII was cuttin(g) de right thing .
    CHI*CHI: I was cuttin(g) de right thing .
    CHIyou watch dis # ok ?
    MELok .
  4. MOTwant a cup a tea # now that everything calmed down ?
    MEL<Esther tells us that> [//] Roger Brown's secretary tells us all we ever seem to do is sit around and drink tea .
    CHI*CHI: dat's de <mean old> [/] # mean old witch .
    CHIdat's not a real one .
    CHIit is a <mask one> [//] # mask .
  5. CHImaskybat@wp .
    MELhmm ?
    CHI*CHI: dis is de clown mask .
    CHIbaskyback@wp .
    MOTwho's a clown ?
  6. CHIbaskyback@wp .
    MOTwho's a clown ?
    CHI*CHI: dis is de clown .
    MOTyeah # but who xxx a clown ?
    MOTa clown .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown7.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah120.chaSarah 4;8.07912677.68

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. de7 · 100.0%