PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (487 utterances, 2,004 words searched).

  1. where's Morag gone to ? MOT · eng_british_Manchester_II/nic15a.cha, line 902 · Nicole 2;05
  2. where's your handbag with your tissue in ? MOT · eng_british_Manchester_II/nic15a.cha, line 927 · Nicole 2;05
  3. where's your handbag , Nicole ? INV · eng_british_Manchester_II/nic15a.cha, line 963 · Nicole 2;05
  4. where's it gone ? MOT · eng_british_Manchester_II/nic15a.cha, line 1308 · Nicole 2;05
  5. where's it gone ? MOT · eng_british_Manchester_II/nic15a.cha, line 1312 · Nicole 2;05
  6. where's it gone ? MOT · eng_british_Manchester_II/nic15a.cha, line 1320 · Nicole 2;05
  1. eng_british_Manchester_II/nic15a.cha, line 902 · Nicole, 2;5.26
    CHIxxx .
    CHIMorag 0has [*] gone now .
    MOT*MOT: where's Morag gone to ?
    CHIhere , look .
    MOToh .
  2. eng_british_Manchester_II/nic15a.cha, line 927 · Nicole, 2;5.26
    CHIhello .
    CHIhello .
    MOT*MOT: where's your handbag with your tissue in ?
    MOTprobably taken that away , haven't you ?
    CHI0has [*] tissue gone ?
  3. eng_british_Manchester_II/nic15a.cha, line 963 · Nicole, 2;5.26
    MOToh .
    MOTit's here your handbag , look .
    INV*INV: where's your handbag , Nicole ?
    INVhave you got a tissue in your handbag ?
    CHIhide [x 3] .
  4. eng_british_Manchester_II/nic15a.cha, line 1308 · Nicole, 2;5.26
    MOTis there a bit of fluff in that toe ?
    MOToh .
    MOT*MOT: where's it gone ?
    MOToh .
    MOTwhere's it gone ?
  5. eng_british_Manchester_II/nic15a.cha, line 1312 · Nicole, 2;5.26
    MOTwhere's it gone ?
    MOToh .
    MOT*MOT: where's it gone ?
    CHIagain .
    CHIhere .
  6. eng_british_Manchester_II/nic15a.cha, line 1320 · Nicole, 2;5.26
    CHIhere .
    MOToh .
    MOT*MOT: where's it gone ?
    MOTgosh .
    MOTyour toes are cold , Nicole .

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. Nicole eng_british_Manchester_II2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic15a.chaNicole 2;5.262,004662.99

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. where's6 · 100.0%