PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 1,562 words searched).

  1. uhhuh # I haven't been . GAI · eng_USA_Brown/sarah095.cha, line 377 · Sarah 4;02
  2. uhhuh . MEL · eng_USA_Brown/sarah095.cha, line 646 · Sarah 4;02
  3. uhhuh . MOT · eng_USA_Brown/sarah095.cha, line 702 · Sarah 4;02
  4. uhhuh . GAI · eng_USA_Brown/sarah095.cha, line 1306 · Sarah 4;02
  5. uhhuh . GAI · eng_USA_Brown/sarah095.cha, line 1310 · Sarah 4;02
  1. MEL(be)cause it shows that she understands .
    CHII swing my arm out # Mommy .
    GAI*GAI: uhhuh # I haven't been .
    MELsee like # I know # <I'd> [/] I'd forget too # but Dr Brown thinks it's a good idea .
    MELit just shows what's understood .
  2. MELwhat ?
    CHIare you up to me ?
    MEL*MEL: uhhuh .
    CHIno # you ain't .
    MELI think you're up to about here on me .
  3. CHIoh .
    CHII'm this tall .
    MOT*MOT: uhhuh .
    CHIso you sit up there .
    MOToh # Sarah .
  4. CHIah .
    MOTmy [/] # my uncle had his cut twice .
    GAI*GAI: uhhuh .
    MOTmy mother never had any .
    GAIuhhuh .
  5. GAIuhhuh .
    MOTmy mother never had any .
    GAI*GAI: uhhuh .
    MOTisn't that funny .
    MELshe never had em before ?

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_Brown3.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah095.chaSarah 4;2.091,562553.20

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. uhhuh5 · 100.0%