PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. tell me again # where was Mike ? MOT · eng_USA_Brown/sarah027.cha, line 302 · Sarah 2;09
  2. tell me again # honey # where . MOT · eng_USA_Brown/sarah027.cha, line 332 · Sarah 2;09
  3. start again . MOT · eng_USA_Brown/sarah027.cha, line 564 · Sarah 2;09
  4. tell me again . GLO · eng_USA_Brown/sarah027.cha, line 719 · Sarah 2;09
  5. tell me again # what am I doing ? GLO · eng_USA_Brown/sarah027.cha, line 854 · Sarah 2;09
  6. tell me again # what did Courtney do ? GLO · eng_USA_Brown/sarah027.cha, line 937 · Sarah 2;09
  7. tell me again . GLO · eng_USA_Brown/sarah027.cha, line 1180 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 302 · Sarah, 2;9.
    CHIon the bed .
    MOTright .
    MOT*MOT: tell me again # where was Mike ?
    CHIdere .
    CHIthere .
  2. eng_USA_Brown/sarah027.cha, line 332 · Sarah, 2;9.
    CHIdere .
    CHIover dere .
    MOT*MOT: tell me again # honey # where .
    CHIover dere .
    GLOover dat dere .
  3. eng_USA_Brown/sarah027.cha, line 564 · Sarah, 2;9.
    MOTSarah Barnes +...
    CHIall +/.
    MOT*MOT: start again .
    MOTSarah Barnes +...
    CHII .
  4. eng_USA_Brown/sarah027.cha, line 719 · Sarah, 2;9.
    GLOwhat are you doing # honey ?
    CHIum .
    GLO*GLO: tell me again .
    CHImy candy+bar .
    COUSarah # what am I doing now ?
  5. eng_USA_Brown/sarah027.cha, line 854 · Sarah, 2;9.
    GLOwhat am I doing ?
    CHIxxx her xxx yyy .
    GLO*GLO: tell me again # what am I doing ?
    CHIyou xxx yyy .
    GLOwhat am I doing ?
  6. eng_USA_Brown/sarah027.cha, line 937 · Sarah, 2;9.
    CHIher weeweed .
    CHIweewee .
    GLO*GLO: tell me again # what did Courtney do ?
    CHIher weeweed .
    MOTyou think you're funny ?
  7. eng_USA_Brown/sarah027.cha, line 1180 · Sarah, 2;9.
    GLOwhat did you just do ?
    CHIxxx .
    GLO*GLO: tell me again .
    CHIsee ?
    MOTis that a star ?

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_Brown5.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245775.62

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. again7 · 100.0%