PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (307 utterances, 1,365 words searched).

  1. how'd you get all dirty ? MOT · eng_USA_Brown/sarah110.cha, line 193 · Sarah 4;05
  2. how'd you get all dirty ? MOT · eng_USA_Brown/sarah110.cha, line 195 · Sarah 4;05
  3. how many times do I have to +... MOT · eng_USA_Brown/sarah110.cha, line 595 · Sarah 4;05
  4. how does she +... MEL · eng_USA_Brown/sarah110.cha, line 658 · Sarah 4;05
  5. how does she work ? MEL · eng_USA_Brown/sarah110.cha, line 662 · Sarah 4;05
  6. how (a)bout Gail ? MOT · eng_USA_Brown/sarah110.cha, line 823 · Sarah 4;05
  1. eng_USA_Brown/sarah110.cha, line 193 · Sarah, 4;5.22
    CHIuhuh .
    MOTc(o)me (h)ere .
    MOT*MOT: how'd you get all dirty ?
    MOThow'd you get all dirty ?
    MOTyou were only up there an hour .
  2. eng_USA_Brown/sarah110.cha, line 195 · Sarah, 4;5.22
    MOTc(o)me (h)ere .
    MOThow'd you get all dirty ?
    MOT*MOT: how'd you get all dirty ?
    MOTyou were only up there an hour .
    MOTyou look like you've been through a war .
  3. eng_USA_Brown/sarah110.cha, line 595 · Sarah, 4;5.22
    CHI0 .
    MOTrun .
    MOT*MOT: how many times do I have to +...
    CHII haven't got it .
    CHII xxx broke it .
  4. eng_USA_Brown/sarah110.cha, line 658 · Sarah, 4;5.22
    MELyou can't find it ?
    MELI see it .
    MEL*MEL: how does she +...
    CHIshe's dead .
    MELhow does she work ?
  5. eng_USA_Brown/sarah110.cha, line 662 · Sarah, 4;5.22
    MELhow does she +...
    CHIshe's dead .
    MEL*MEL: how does she work ?
    CHIshe don't work .
    MOToh Sarah # will you stop teasin(g) ?
  6. eng_USA_Brown/sarah110.cha, line 823 · Sarah, 4;5.22
    CHIyou want tea ?
    MELyes # please .
    MOT*MOT: how (a)bout Gail ?
    CHIy(ou) want tea ?
    GAIthank+you # yes .

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_Brown4.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah110.chaSarah 4;5.221,365664.40

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. how6 · 100.0%