PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 2,043 words searched).

  1. alright then . MOT · eng_british_Manchester_I/anne25b.cha, line 19 · Anne 2;06
  2. go on then . MOT · eng_british_Manchester_I/anne25b.cha, line 1050 · Anne 2;06
  3. you go to sleep then . MOT · eng_british_Manchester_I/anne25b.cha, line 1329 · Anne 2;06
  4. how's it gonna [: going to] get to the pub then if it's in the river . MOT · eng_british_Manchester_I/anne25b.cha, line 1663 · Anne 2;06
  5. here we go then . MOT · eng_british_Manchester_I/anne25b.cha, line 1868 · Anne 2;06
  6. right then . MOT · eng_british_Manchester_I/anne25b.cha, line 1976 · Anne 2;06
  7. here we go then . MOT · eng_british_Manchester_I/anne25b.cha, line 1978 · Anne 2;06
  8. better stop then ,, hadn't I ? MOT · eng_british_Manchester_I/anne25b.cha, line 2061 · Anne 2;06
  1. CHIprobably we do it .
    MOTprobably we do it .
    MOT*MOT: alright then .
    CHIprobably we do it .
    CHIxxx .
  2. CHII'm asleep .
    CHIagain .
    MOT*MOT: go on then .
    MOTgo back to sleep .
    CHIoh .
  3. CHIxxx .
    MOTright .
    MOT*MOT: you go to sleep then .
    CHII want to xxx something else .
    MOTyou can't decide what you want .
  4. CHIvroom@o .
    MOTwell .
    MOT*MOT: how's it gonna [: going to] get to the pub then if it's in the river .
    MOToh .
    MOTrolling it ?
  5. CHIvroom@o .
    MOTokay .
    MOT*MOT: here we go then .
    MOTare we ready ?
    MOThere we go .
  6. CHIyou drive it again .
    MOTokay .
    MOT*MOT: right then .
    MOThere we go then .
    CHIit's panda .
  7. MOTokay .
    MOTright then .
    MOT*MOT: here we go then .
    CHIit's panda .
    CHIdriving as well .
  8. MOTred .
    MOToh .
    MOT*MOT: better stop then ,, hadn't I ?
    MOTstop .
    MOToh .

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_I3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25b.chaAnne 2;6.292,043883.92

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. then8 · 100.0%