PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (371 utterances, 1,980 words searched).

  1. how did that happen ? MOT · eng_british_Manchester_II/warr15a.cha, line 276 · Warren 2;03
  2. how did those teddys get there ? MOT · eng_british_Manchester_II/warr15a.cha, line 278 · Warren 2;03
  3. how much ? MOT · eng_british_Manchester_II/warr15a.cha, line 451 · Warren 2;03
  4. how much money ? MOT · eng_british_Manchester_II/warr15a.cha, line 457 · Warren 2;03
  5. can you remember how to mend it ? MOT · eng_british_Manchester_II/warr15a.cha, line 579 · Warren 2;03
  6. can you remember how to mend it ? MOT · eng_british_Manchester_II/warr15a.cha, line 585 · Warren 2;03
  7. how many trailers are there out now ? MOT · eng_british_Manchester_II/warr15a.cha, line 674 · Warren 2;03
  8. how many trailers ? MOT · eng_british_Manchester_II/warr15a.cha, line 679 · Warren 2;03
  1. CHIget all that in the basket .
    MOToh yes .
    MOT*MOT: how did that happen ?
    MOThow did those teddys get there ?
    CHIWarren put it out .
  2. MOToh yes .
    MOThow did that happen ?
    MOT*MOT: how did those teddys get there ?
    CHIWarren put it out .
    CHIWarren do .
  3. CHIget my money .
    CHIget my money .
    MOT*MOT: how much ?
    CHIxxx .
    CHIhe go back and get some more money .
  4. CHIxxx .
    CHIhe go back and get some more money .
    MOT*MOT: how much money ?
    CHIget some more money .
    MOThas he bought the baby polar bear off the lady with the wheelbarrow ?
  5. MOTwhy is he in the wheelbarrow do you think ?
    CHIWarren [/] Warren mend that lady again .
    MOT*MOT: can you remember how to mend it ?
    CHIno .
    CHIMummy mend it again .
  6. CHIno .
    CHIMummy mend it again .
    MOT*MOT: can you remember how to mend it ?
    MOTyou have to make sure the legs are down and the arms are out .
    MOTand then you go +//.
  7. CHIhe 0is [*] having a drink .
    CHIsip .
    MOT*MOT: how many trailers are there out now ?
    MOToy .
    MOThow many trailers ?
  8. MOThow many trailers are there out now ?
    MOToy .
    MOT*MOT: how many trailers ?
    CHIfive .
    CHIplaying out .

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. Warren eng_british_Manchester_II4.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15a.chaWarren 2;3.021,980884.04

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. how8 · 100.0%