PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.93 per 1,000 words of the child (CHI), in 1 of 1 transcripts (297 utterances, 1,025 words searched).

  1. not # um Barbara . CHI · eng_USA_Brown/sarah110.cha, line 69 · Sarah 4;05
  2. Barbara . CHI · eng_USA_Brown/sarah110.cha, line 73 · Sarah 4;05
  3. Barbara # (a)n(d) she has a kid name um # Janice . CHI · eng_USA_Brown/sarah110.cha, line 77 · Sarah 4;05
  1. eng_USA_Brown/sarah110.cha, line 69 · Sarah, 4;5.22
    MOT<oh that's the> [//] oh that's the new teacher's name # Janice ?
    CHIyeah .
    CHI*CHI: not # um Barbara .
    MOTnot Barbara ?
    CHIBarbara .
  2. eng_USA_Brown/sarah110.cha, line 73 · Sarah, 4;5.22
    CHInot # um Barbara .
    MOTnot Barbara ?
    CHI*CHI: Barbara .
    MOTis her name Barbara or Janice ?
    CHIBarbara # (a)n(d) she has a kid name um # Janice .
  3. eng_USA_Brown/sarah110.cha, line 77 · Sarah, 4;5.22
    CHIBarbara .
    MOTis her name Barbara or Janice ?
    CHI*CHI: Barbara # (a)n(d) she has a kid name um # Janice .
    MOToh # she has a kid named Janice ?
    CHIyeah .

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_Brown2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah110.chaSarah 4;5.221,025332.93

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. barbara3 · 100.0%