PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

5.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. tell her . MOT · eng_USA_Brown/sarah038.cha, line 111 · Sarah 2;11
  2. oh # did you already give her her breakfast ? MOT · eng_USA_Brown/sarah038.cha, line 303 · Sarah 2;11
  3. oh # did you already give her her breakfast ? MOT · eng_USA_Brown/sarah038.cha, line 303 · Sarah 2;11
  4. oh # you gave her breakfast once ? MOT · eng_USA_Brown/sarah038.cha, line 312 · Sarah 2;11
  5. tell her it was a big # big # big horsie you were on # huh . MOT · eng_USA_Brown/sarah038.cha, line 381 · Sarah 2;11
  1. MOThmm ?
    MOTtell Courtney why you were in the dog house .
    MOT*MOT: tell her .
    MOTtell Courtney why .
    MOTaren't you gonna talk today ?
  2. MOToh # she isn't ?
    CHIno .
    MOT*MOT: oh # did you already give her her breakfast ?
    CHI0 .
    MOToh .
  3. MOToh .
    CHII xxx breakfast # once .
    MOT*MOT: oh # you gave her breakfast once ?
    CHIyeah .
    COUdishes ?
  4. MOTdid you have fun ?
    CHIyep .
    MOT*MOT: tell her it was a big # big # big horsie you were on # huh .
    CHIyeah .
    COUwhat did you do # Sarah ?

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_Brown5.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985455.08

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. her5 · 100.0%