PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (568 utterances, 2,248 words searched).

  1. there then , Anne . MOT · eng_british_Manchester_I/anne23a.cha, line 212 · Anne 2;05
  2. can you see the duck in that picture , Anne ? MOT · eng_british_Manchester_I/anne23a.cha, line 379 · Anne 2;05
  3. who wants a turn , Anne ? MOT · eng_british_Manchester_I/anne23a.cha, line 608 · Anne 2;05
  4. to put in , Anne . MOT · eng_british_Manchester_I/anne23a.cha, line 657 · Anne 2;05
  5. what's he doing , Anne ? MOT · eng_british_Manchester_I/anne23a.cha, line 734 · Anne 2;05
  6. you're not having another biscuit , Anne . MOT · eng_british_Manchester_I/anne23a.cha, line 901 · Anne 2;05
  7. what they lining up for , Anne ? MOT · eng_british_Manchester_I/anne23a.cha, line 978 · Anne 2;05
  8. Anne can do it . MOT · eng_british_Manchester_I/anne23a.cha, line 1712 · Anne 2;05
  1. MOTwhoops .
    MOTthere we go .
    MOT*MOT: there then , Anne .
    MOTthere you are .
    MOTwhere's that go ?
  2. MOTwhere does that go ?
    MOTuhhum .
    MOT*MOT: can you see the duck in that picture , Anne ?
    CHIwhere ?
    MOTwhere is he ?
  3. MOTnow .
    MOTwho's gonna [: going to] have a turn ?
    MOT*MOT: who wants a turn , Anne ?
    MOTwho will sit up ?
    MOTI think this little girl's gonna [: going to] have a turn .
  4. MOTlisten .
    MOTthey're a bit fiddly ,, aren't they ?
    MOT*MOT: to put in , Anne .
    CHIoh .
    CHIxxx .
  5. MOToh my goodness .
    MOTwhat's he doing ?
    MOT*MOT: what's he doing , Anne ?
    CHIxxx .
    CHII go up the slide .
  6. CHII need one .
    MOTno .
    MOT*MOT: you're not having another biscuit , Anne .
    MOTbye .
    MOT<put them> [/] put them like that .
  7. MOTwhat a long line of animals .
    CHIxxx .
    MOT*MOT: what they lining up for , Anne ?
    MOTwhy're they in a line ?
    CHIbecause they are .
  8. MOTwww .
    MOThooray .
    MOT*MOT: Anne can do it .
    CHIit isn't tidied up .
    MOTit isn't tidied up ?

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. Anne eng_british_Manchester_I3.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne23a.chaAnne 2;5.252,248883.56

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. anne8 · 100.0%