PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,847 words searched).

  1. having some cake . MOT · eng_british_Manchester_I/anne15a.cha, line 351 · Anne 2;03
  2. are you having some cake ? MOT · eng_british_Manchester_I/anne15a.cha, line 355 · Anne 2;03
  3. how about having a look at the pictures in that box ? MOT · eng_british_Manchester_I/anne15a.cha, line 564 · Anne 2;03
  4. one day there's a great big piggy sitting down having umbrella ? MOT · eng_british_Manchester_I/anne15a.cha, line 667 · Anne 2;03
  5. I thought she was having cheese and bread . MOT · eng_british_Manchester_I/anne15a.cha, line 1404 · Anne 2;03
  6. you're having some money in your cup of tea ? MOT · eng_british_Manchester_I/anne15a.cha, line 1458 · Anne 2;03
  7. are you having a look to see what it is ? MOT · eng_british_Manchester_I/anne15a.cha, line 1701 · Anne 2;03
  1. MOTis he sweeping the floor ?
    CHII have to get # some cake .
    MOT*MOT: having some cake .
    MOToh .
    MOTare you having some cake ?
  2. MOThaving some cake .
    MOToh .
    MOT*MOT: are you having some cake ?
    CHIxxx .
    CHIon spoon .
  3. MOTxxx that .
    MOTwe could have a look at these pictures .
    MOT*MOT: how about having a look at the pictures in that box ?
    CHIxxx .
    CHIsome on that page .
  4. CHIsitting down .
    CHIhave umbrella .
    MOT*MOT: one day there's a great big piggy sitting down having umbrella ?
    CHIone day a great big piggy sitting down on the floor .
    CHIxxx fall down .
  5. CHII 0have [*] got some dinner .
    CHIdon't need that .
    MOT*MOT: I thought she was having cheese and bread .
    CHIoh .
    CHIxxx .
  6. MOTdelicious .
    CHII'm having some money in my cup tea .
    MOT*MOT: you're having some money in your cup of tea ?
    MOTthat's a funny place to put it .
    CHIxxx .
  7. MOTthis is a present for you .
    MOToh .
    MOT*MOT: are you having a look to see what it is ?
    MOToh .
    MOTwhat did you get ?

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_I3.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne15a.chaAnne 2;3.011,847773.79

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. having7 · 100.0%