PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.81 per 1,000 words of the child (CHI), in 1 of 1 transcripts (399 utterances, 1,032 words searched).

  1. and we have to put it in a pan now . CHI · eng_british_Manchester_II/nic34a.cha, line 1815 · Nicole 3;00
  2. get [/] get a pan . CHI · eng_british_Manchester_II/nic34a.cha, line 1822 · Nicole 3;00
  3. I put in a pan again . CHI · eng_british_Manchester_II/nic34a.cha, line 1827 · Nicole 3;00
  4. and you have to go and get a pan . CHI · eng_british_Manchester_II/nic34a.cha, line 1924 · Nicole 3;00
  5. you have to get a pan . CHI · eng_british_Manchester_II/nic34a.cha, line 1929 · Nicole 3;00
  6. where 0is [*] pan ? CHI · eng_british_Manchester_II/nic34a.cha, line 1939 · Nicole 3;00
  1. eng_british_Manchester_II/nic34a.cha, line 1815 · Nicole, 3;0.10
    CHIwhat we do ?
    CHIput it in here .
    CHI*CHI: and we have to put it in a pan now .
    MOTput it in a pan ?
    CHIyeah .
  2. eng_british_Manchester_II/nic34a.cha, line 1822 · Nicole, 3;0.10
    MOTput it in a pan ?
    CHIyeah .
    CHI*CHI: get [/] get a pan .
    MOTI'll go and get you a pan then .
    CHII put in a pan again .
  3. eng_british_Manchester_II/nic34a.cha, line 1827 · Nicole, 3;0.10
    CHIget [/] get a pan .
    MOTI'll go and get you a pan then .
    CHI*CHI: I put in a pan again .
    CHIbecause we cook that for dinner .
    INVoh .
  4. eng_british_Manchester_II/nic34a.cha, line 1924 · Nicole, 3;0.10
    CHII [/] I just put it there .
    MOTit's like grizzly+bears are black .
    CHI*CHI: and you have to go and get a pan .
    INVpardon ?
    CHIyou have to get a pan .
  5. eng_british_Manchester_II/nic34a.cha, line 1929 · Nicole, 3;0.10
    CHIand you have to go and get a pan .
    INVpardon ?
    CHI*CHI: you have to get a pan .
    MOTthere's another one .
    CHIxxx .
  6. eng_british_Manchester_II/nic34a.cha, line 1939 · Nicole, 3;0.10
    INVokay .
    MOTanother pan .
    CHI*CHI: where 0is [*] pan ?
    MOTmmhm .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_II5.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic34a.chaNicole 3;0.101,032665.81

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. pan6 · 100.0%