PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,319 words searched).

  1. Sarah # how would you like to get shipped back to the beach tonight ? MOT · eng_USA_Brown/sarah087.cha, line 236 · Sarah 4;00
  2. how would you like to get shipped back to the beach ? MOT · eng_USA_Brown/sarah087.cha, line 242 · Sarah 4;00
  3. we were on the beach all day . MOT · eng_USA_Brown/sarah087.cha, line 487 · Sarah 4;00
  4. she still at the beach ? FAT · eng_USA_Brown/sarah087.cha, line 950 · Sarah 4;00
  5. she loves the beach . MOT · eng_USA_Brown/sarah087.cha, line 961 · Sarah 4;00
  6. down the beach . MOT · eng_USA_Brown/sarah087.cha, line 1064 · Sarah 4;00
  1. eng_USA_Brown/sarah087.cha, line 236 · Sarah, 4;0.05
    MOT0 .
    CHII have school # Donna .
    MOT*MOT: Sarah # how would you like to get shipped back to the beach tonight ?
    CHIhuh ?
    MOThow would you like to get shipped back to the beach ?
  2. eng_USA_Brown/sarah087.cha, line 242 · Sarah, 4;0.05
    MOTSarah # how would you like to get shipped back to the beach tonight ?
    CHIhuh ?
    MOT*MOT: how would you like to get shipped back to the beach ?
    CHIno .
    MOTno ?
  3. eng_USA_Brown/sarah087.cha, line 487 · Sarah, 4;0.05
    CHIbeebo@c .
    MOT(a)n(d) we all went swimmin(g) .
    MOT*MOT: we were on the beach all day .
    MOT(a)n(d) we had a big party (a)n(d) we had supper .
    MOThuh ?
  4. eng_USA_Brown/sarah087.cha, line 950 · Sarah, 4;0.05
    MOTpoor Chantilly .
    MOTboy does that dog like to swim .
    FAT*FAT: she still at the beach ?
    MOTyeah .
    MOTshe's home .
  5. eng_USA_Brown/sarah087.cha, line 961 · Sarah, 4;0.05
    MOTshe's under the bed asleep .
    MOTshe's tired .
    MOT*MOT: she loves the beach .
    CHIknow what ?
    MOTwhat ?
  6. eng_USA_Brown/sarah087.cha, line 1064 · Sarah, 4;0.05
    CHII have a Mary Poppins doll .
    MOTyeah .
    MOT*MOT: down the beach .
    MOT(a)n(d) she got Scooter .
    CHIyeah .

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_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah087.chaSarah 4;0.051,319664.55

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. beach6 · 100.0%