PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (346 utterances, 1,783 words searched).

  1. forgot I had em . MOT · eng_USA_Brown/sarah119.cha, line 624 · Sarah 4;07
  2. how about all your cans that you had out in the yard ? MOT · eng_USA_Brown/sarah119.cha, line 760 · Sarah 4;07
  3. how_come Betty had to go in ? MOT · eng_USA_Brown/sarah119.cha, line 808 · Sarah 4;07
  4. well how_come she had to go back in the house ? MOT · eng_USA_Brown/sarah119.cha, line 865 · Sarah 4;07
  5. you all had a fight over who ? MOT · eng_USA_Brown/sarah119.cha, line 997 · Sarah 4;07
  1. eng_USA_Brown/sarah119.cha, line 624 · Sarah, 4;7.24
    MOTthen you forgot about them # huh ?
    CHImmhm .
    MOT*MOT: forgot I had em .
    CHIare they hard a little bit ?
    MOTno # they're scrumptious .
  2. eng_USA_Brown/sarah119.cha, line 760 · Sarah, 4;7.24
    CHII did it .
    CHImm [?] .
    MOT*MOT: how about all your cans that you had out in the yard ?
    MOTwhat did you do with em ?
    CHIwell # Donna stealed@n em .
  3. eng_USA_Brown/sarah119.cha, line 808 · Sarah, 4;7.24
    CHIsaid # that's enough for one day .
    CHII said # up Betty's house .
    MOT*MOT: how_come Betty had to go in ?
    MOTwait a minute .
    MOTsay what you're gonna say before you take another bite .
  4. eng_USA_Brown/sarah119.cha, line 865 · Sarah, 4;7.24
    MOTy(ou) mean # mean Betty ?
    CHIall of us .
    MOT*MOT: well how_come she had to go back in the house ?
    CHIshe didn't go back in the house # but # I [?] mean [?] back and forth # and back and forth # and back and forth .
    MOToh .
  5. eng_USA_Brown/sarah119.cha, line 997 · Sarah, 4;7.24
    CHIthen # <after that # well #> [//] after we all # fighted [*] [: fought] over Robin .
    MOTwho ?
    MOT*MOT: you all had a fight over who ?
    CHIRobin .
    MOT<who is Ro(bin)> [//] # oh # who was gonna be [!!] Robin ?

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_Brown2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah119.chaSarah 4;7.241,783552.80

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. had5 · 100.0%