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 # get +... MOT · eng_USA_Brown/sarah087.cha, line 19 · Sarah 4;00
  2. Sarah # how would you like to get shipped back to the beach tonight ? MOT · eng_USA_Brown/sarah087.cha, line 236 · Sarah 4;00
  3. how would you like to get shipped back to the beach ? MOT · eng_USA_Brown/sarah087.cha, line 242 · Sarah 4;00
  4. <maybe we can get the Scooter out yet> [<] . MOT · eng_USA_Brown/sarah087.cha, line 1162 · Sarah 4;00
  5. I don't mind once I get started . MOT · eng_USA_Brown/sarah087.cha, line 1218 · Sarah 4;00
  6. when'd you get a teddy+bear ? MOT · eng_USA_Brown/sarah087.cha, line 1319 · Sarah 4;00
  1. eng_USA_Brown/sarah087.cha, line 19 · Sarah, 4;0.05
    FAThi # Sarah .
    MOTdon't touch .
    MOT*MOT: Sarah # get +...
    MOTsit over here and let us +...
    MOTMelissa sit down .
  2. 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 ?
  3. 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 ?
  4. eng_USA_Brown/sarah087.cha, line 1162 · Sarah, 4;0.05
    CHIMommy # close your eyes .
    CHI<I'm hungry xxx> [?] .
    MOT*MOT: <maybe we can get the Scooter out yet> [<] .
    MOTthe uh Scooter suitcase .
    CHIMommy # this onion's all funny .
  5. eng_USA_Brown/sarah087.cha, line 1218 · Sarah, 4;0.05
    MOTSeptember .
    CHIoh .
    MOT*MOT: I don't mind once I get started .
    MOTwhoopsie .
    CHIMama # look it .
  6. eng_USA_Brown/sarah087.cha, line 1319 · Sarah, 4;0.05
    MOTyou got a teddy+bear ?
    CHIyes .
    MOT*MOT: when'd you get a teddy+bear ?
    CHIyou know .
    MOTno I don't .

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. get6 · 100.0%