PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (247 utterances, 1,182 words searched).

  1. (a)n(d) what was the other kind # what's the name of the other bear ya saw ? MOT · eng_USA_Brown/sarah088.cha, line 30 · Sarah 4;00
  2. what's her name ? MOT · eng_USA_Brown/sarah088.cha, line 532 · Sarah 4;00
  3. what's in there ? MOT · eng_USA_Brown/sarah088.cha, line 902 · Sarah 4;00
  4. what's coming off ? FAT · eng_USA_Brown/sarah088.cha, line 1100 · Sarah 4;00
  5. what's going on now ? FAT · eng_USA_Brown/sarah088.cha, line 1281 · Sarah 4;00
  1. CHIpolar bears .
    MOTpolar bears .
    MOT*MOT: (a)n(d) what was the other kind # what's the name of the other bear ya saw ?
    CHII don't know .
    MOTgrizzly bears .
  2. MOTbut you don't get all the dirt off .
    MOTawful dirty .
    MOT*MOT: what's her name ?
    CHIuh # um +...
    MOTwhat dollie is that ?
  3. MOTwhat is it ?
    CHIhuh ?
    MOT*MOT: what's in there ?
    CHIdirt .
    MOTSarah # xxx trouble some time .
  4. CHIshe's comin(g) off .
    CHIit's comin(g) off .
    FAT*FAT: what's coming off ?
    CHIthe dirt .
    FAToh .
  5. MOTshe said it looked awful ?
    CHIyeah .
    FAT*FAT: what's going on now ?
    CHII'm getting dressed .
    CHII'm +...

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_Brown4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah088.chaSarah 4;0.141,182554.23

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. what's5 · 100.0%