PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (430 utterances, 2,030 words searched).

  1. are we going shopping then ? MOT · eng_british_Manchester_II/warr34b.cha, line 150 · Warren 2;09
  2. well if you put all the shopping in the basket then we can get these out . MOT · eng_british_Manchester_II/warr34b.cha, line 601 · Warren 2;09
  3. if you bring the bag over then . MOT · eng_british_Manchester_II/warr34b.cha, line 612 · Warren 2;09
  4. then we can put the basket in here , can't we ? MOT · eng_british_Manchester_II/warr34b.cha, line 618 · Warren 2;09
  5. why is the top of his cab open then ? MOT · eng_british_Manchester_II/warr34b.cha, line 1359 · Warren 2;09
  6. shall I get coupled up to you then ? MOT · eng_british_Manchester_II/warr34b.cha, line 1479 · Warren 2;09
  7. and then we can both pull , can't we ? MOT · eng_british_Manchester_II/warr34b.cha, line 1482 · Warren 2;09
  1. CHIsitting on xxx .
    MOTright .
    MOT*MOT: are we going shopping then ?
    CHIyeah .
    MOTwhat're we going to buy ?
  2. MOTwell I don't know if there is time .
    CHIis time .
    MOT*MOT: well if you put all the shopping in the basket then we can get these out .
    MOTokay ?
    CHIthere's some more in that bag .
  3. CHIthere's some more in that bag .
    MOTright .
    MOT*MOT: if you bring the bag over then .
    MOTyou bring the bag of shopping over .
    MOTthank you .
  4. MOTyou bring the bag of shopping over .
    MOTthank you .
    MOT*MOT: then we can put the basket in here , can't we ?
    CHIa bare doll .
    MOTpoor dolly with no clothes on .
  5. CHIno .
    CHIit's not raining .
    MOT*MOT: why is the top of his cab open then ?
    CHIspace .
    CHIhe's parked now .
  6. CHIcan't go .
    CHIyou have to bump into my couple .
    MOT*MOT: shall I get coupled up to you then ?
    MOTand then we can both pull , can't we ?
    MOTright .
  7. CHIyou have to bump into my couple .
    MOTshall I get coupled up to you then ?
    MOT*MOT: and then we can both pull , can't we ?
    MOTright .
    MOTI'm coupled on .

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_II3.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr34b.chaWarren 2;9.202,030773.45

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. then7 · 100.0%