PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (363 utterances, 1,733 words searched).

  1. # well no . MEL · eng_USA_Brown/sarah081.cha, line 149 · Sarah 3;10
  2. well # remember you're supposed to inside line . MOT · eng_USA_Brown/sarah081.cha, line 765 · Sarah 3;10
  3. well # Georgie's the same age as she is . MOT · eng_USA_Brown/sarah081.cha, line 912 · Sarah 3;10
  4. well # it's not too bad . MOT · eng_USA_Brown/sarah081.cha, line 975 · Sarah 3;10
  5. but might just as well be related # (be)cause I lived over there on the the first floor when… MOT · eng_USA_Brown/sarah081.cha, line 1004 · Sarah 3;10
  1. eng_USA_Brown/sarah081.cha, line 149 · Sarah, 3;10.09
    MELshe doesn't know Millisandy # dose does she ?
    MELI think I might have met Millisand +...
    MEL*MEL: # well no .
    CHII got # Bam_Bam .
    MOTthat's Bam_Bam .
  2. eng_USA_Brown/sarah081.cha, line 765 · Sarah, 3;10.09
    CHII'm sorry .
    MOToh .
    MOT*MOT: well # remember you're supposed to inside line .
    MOTand all one colo(r) .
    CHIuh .
  3. eng_USA_Brown/sarah081.cha, line 912 · Sarah, 3;10.09
    MOTxxx .
    MELbut they all older .
    MOT*MOT: well # Georgie's the same age as she is .
    MOTbut the others are all older .
    CHIwell # I got through with this .
  4. eng_USA_Brown/sarah081.cha, line 975 · Sarah, 3;10.09
    MOTBlanche Flanagan .
    CHIdid I scribble [= in coloring book] ?
    MOT*MOT: well # it's not too bad .
    MOTyou're doin(g) better # much better .
    MOTyou have to <do a> [//] # make a +...
  5. eng_USA_Brown/sarah081.cha, line 1004 · Sarah, 3;10.09
    MOTyeah # I guess so .
    CHI(be)cause I went out the line right there .
    MOT*MOT: but might just as well be related # (be)cause I lived over there on the the first floor when they [//] # she first got married .
    MOTshe's married thirteen years .
    CHIxxx .

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_Brown2.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah081.chaSarah 3;10.091,733552.89

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. well5 · 100.0%