PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

7.14 per 1,000 words of the child (CHI), in 1 of 1 transcripts (300 utterances, 840 words searched).

  1. (a)n(d) Kent . CHI · eng_USA_Brown/sarah064.cha, line 30 · Sarah 3;06
  2. what's go in Kent up # Kent (a)n(d) +... CHI · eng_USA_Brown/sarah064.cha, line 982 · Sarah 3;06
  3. what's go in Kent up # Kent (a)n(d) +... CHI · eng_USA_Brown/sarah064.cha, line 982 · Sarah 3;06
  4. for Kent ? CHI · eng_USA_Brown/sarah064.cha, line 1112 · Sarah 3;06
  5. (a)n(d) Kent # (a)n(d) Gloria # (a)n(d) +... CHI · eng_USA_Brown/sarah064.cha, line 1129 · Sarah 3;06
  6. (a)n(d) Kent # (a)n(d) Gloria # (a)n(d) Courtney . CHI · eng_USA_Brown/sarah064.cha, line 1133 · Sarah 3;06
  1. eng_USA_Brown/sarah064.cha, line 30 · Sarah, 3;6.06
    CHICourtney was here .
    MOT(a)n(d) who else came ?
    CHI*CHI: (a)n(d) Kent .
    MOTno .
    MOTwho else besides Courtney and Kent ?
  2. eng_USA_Brown/sarah064.cha, line 982 · Sarah, 3;6.06
    CHIo:h .
    CHIwhat's kind o(f) of kooky around here ?
    CHI*CHI: what's go in Kent up # Kent (a)n(d) +...
    CHIwhat's goin(g) up in stairs .
    CHI(a)n(d) down stairs .
  3. eng_USA_Brown/sarah064.cha, line 1112 · Sarah, 3;6.06
    CHIum # no .
    MOThow would you like to take a nap ?
    CHI*CHI: for Kent ?
    MOThmm ?
    CHI(a)n(d) you uh ?
  4. eng_USA_Brown/sarah064.cha, line 1129 · Sarah, 3;6.06
    MOTin Mummy's bed .
    MOTtake a nice nap .
    CHI*CHI: (a)n(d) Kent # (a)n(d) Gloria # (a)n(d) +...
    MOTit would be awful crowded .
    CHI(a)n(d) Kent # (a)n(d) Gloria # (a)n(d) Courtney .
  5. eng_USA_Brown/sarah064.cha, line 1133 · Sarah, 3;6.06
    CHI(a)n(d) Kent # (a)n(d) Gloria # (a)n(d) +...
    MOTit would be awful crowded .
    CHI*CHI: (a)n(d) Kent # (a)n(d) Gloria # (a)n(d) Courtney .
    MOToh .
    CHIwhy ?

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_Brown7.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.06840567.14

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. kent6 · 100.0%