PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. where's your handbag with your tissue in ? MOT · eng_british_Manchester_II/nic15a.cha, line 927 · Nicole 2;05
  2. xxx tissue . MOT · eng_british_Manchester_II/nic15a.cha, line 937 · Nicole 2;05
  3. I'll go and get a tissue . MOT · eng_british_Manchester_II/nic15a.cha, line 952 · Nicole 2;05
  4. you talk to Caroline while I go and get a tissue . MOT · eng_british_Manchester_II/nic15a.cha, line 954 · Nicole 2;05
  5. have you got a tissue in your handbag ? INV · eng_british_Manchester_II/nic15a.cha, line 965 · Nicole 2;05
  1. 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 ?
  2. eng_british_Manchester_II/nic15a.cha, line 937 · Nicole, 2;5.26
    CHI0has [*] tissue gone ?
    CHIwhere 0has [*] my bag gone ?
    MOT*MOT: xxx tissue .
    CHItissue gone .
    MOTmmhm .
  3. eng_british_Manchester_II/nic15a.cha, line 952 · Nicole, 2;5.26
    MOTlet's have a look at your nose .
    MOThave a look at your nose .
    MOT*MOT: I'll go and get a tissue .
    MOTyou talk to Caroline while I go and get a tissue .
    CHIhandbag 0has [*] gone .
  4. eng_british_Manchester_II/nic15a.cha, line 954 · Nicole, 2;5.26
    MOThave a look at your nose .
    MOTI'll go and get a tissue .
    MOT*MOT: you talk to Caroline while I go and get a tissue .
    CHIhandbag 0has [*] gone .
    MOToh .
  5. eng_british_Manchester_II/nic15a.cha, line 965 · Nicole, 2;5.26
    MOTit's here your handbag , look .
    INVwhere's your handbag , Nicole ?
    INV*INV: have you got a tissue in your handbag ?
    CHIhide [x 3] .
    INVhide .

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_II2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic15a.chaNicole 2;5.262,004552.50

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. tissue5 · 100.0%