PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (494 utterances, 1,971 words searched).

  1. alright then . INV · eng_british_Manchester_I/gail08b.cha, line 41 · Gail 2;02
  2. what're you doing then ? MOT · eng_british_Manchester_I/gail08b.cha, line 179 · Gail 2;02
  3. put it in the trolley and then in the bag when you've paid the lady . MOT · eng_british_Manchester_I/gail08b.cha, line 802 · Gail 2;02
  4. and then we got stuck in snow . MOT · eng_british_Manchester_I/gail08b.cha, line 885 · Gail 2;02
  5. and then on the way back we're going to see Chris . MOT · eng_british_Manchester_I/gail08b.cha, line 911 · Gail 2;02
  6. and then we might go to Eureka . MOT · eng_british_Manchester_I/gail08b.cha, line 942 · Gail 2;02
  7. why did you do it then ? MOT · eng_british_Manchester_I/gail08b.cha, line 1476 · Gail 2;02
  8. bring it here then . INV · eng_british_Manchester_I/gail08b.cha, line 1598 · Gail 2;02
  1. CHIput this on .
    INVoh .
    INV*INV: alright then .
    MOTwhat's that one like ?
    CHIthat xxx .
  2. MOTare you washing your feet in the tub ?
    CHIno .
    MOT*MOT: what're you doing then ?
    MOTwearing it like a shoe ?
    INVit's a foot+muff .
  3. MOTwell .
    MOTyeah .
    MOT*MOT: put it in the trolley and then in the bag when you've paid the lady .
    MOTor the man .
    CHIthe lady .
  4. MOTand Father_Christmas came to see us .
    CHIxxx .
    MOT*MOT: and then we got stuck in snow .
    MOTdo you remember that ?
    CHImmhm .
  5. MOTcrash like that ?
    CHImmhm .
    MOT*MOT: and then on the way back we're going to see Chris .
    CHImmhm .
    MOTwhat does Chris make ?
  6. MOTwe're going to see him .
    MOThe likes in Leeds .
    MOT*MOT: and then we might go to Eureka .
    MOTyou know Eureka ?
    CHIyeah .
  7. CHIno .
    MOToh .
    MOT*MOT: why did you do it then ?
    MOTwas it a nice thing to do ?
    CHIum tip it out [*] toys .
  8. CHICaroline do it .
    INVokay .
    INV*INV: bring it here then .
    INVI need the other one as well .
    INVthank you .

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. Gail eng_british_Manchester_I4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail08b.chaGail 2;2.121,971884.06

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%