PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. (a)n(d) she got Scooter . MOT · eng_USA_Brown/sarah087.cha, line 1066 · Sarah 4;00
  2. Scooter doll . MOT · eng_USA_Brown/sarah087.cha, line 1071 · Sarah 4;00
  3. Scooter . MOT · eng_USA_Brown/sarah087.cha, line 1073 · Sarah 4;00
  4. Scooter doll . FAT · eng_USA_Brown/sarah087.cha, line 1075 · Sarah 4;00
  5. her name is Scooter # Sarah # not Bobby . MOT · eng_USA_Brown/sarah087.cha, line 1083 · Sarah 4;00
  6. <Skipper's> [//] Skipper's friend Scooter . MOT · eng_USA_Brown/sarah087.cha, line 1094 · Sarah 4;00
  7. <maybe we can get the Scooter out yet> [<] . MOT · eng_USA_Brown/sarah087.cha, line 1162 · Sarah 4;00
  8. the uh Scooter suitcase . MOT · eng_USA_Brown/sarah087.cha, line 1165 · Sarah 4;00
  1. MOTyeah .
    MOTdown the beach .
    MOT*MOT: (a)n(d) she got Scooter .
    CHIyeah .
    MOTScooter doll .
  2. MOT(a)n(d) she got Scooter .
    CHIyeah .
    MOT*MOT: Scooter doll .
    MOTScooter .
    FATScooter doll .
  3. CHIyeah .
    MOTScooter doll .
    MOT*MOT: Scooter .
    FATScooter doll .
    CHI(a)n(d) I got # Bobby .
  4. MOTScooter doll .
    MOTScooter .
    FAT*FAT: Scooter doll .
    CHI(a)n(d) I got # Bobby .
    MOTI got # Bobby .
  5. MOTI got # Bobby .
    CHII get Bobby huh ?
    MOT*MOT: her name is Scooter # Sarah # not Bobby .
    MOTwhat's the other one .
    MOTwhat's the one you have ?
  6. MOTuh .
    CHISkip (a)n(d) Bobby .
    MOT*MOT: <Skipper's> [//] Skipper's friend Scooter .
    MOTit's a new one .
    MOTit just came out .
  7. 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 .
  8. CHI<I'm hungry xxx> [?] .
    MOT<maybe we can get the Scooter out yet> [<] .
    MOT*MOT: the uh Scooter suitcase .
    CHIMommy # this onion's all funny .
    MOTnow 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_Brown6.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah087.chaSarah 4;0.051,319886.07

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. scooter8 · 100.0%