PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (588 utterances, 2,154 words searched).

  1. I've been looking for that pair for years . MOT · eng_british_Manchester_I/gail14a.cha, line 90 · Gail 2;04
  2. I've got two the same . MOT · eng_british_Manchester_I/gail14a.cha, line 97 · Gail 2;04
  3. I've taken my varnish off , haven't I , look ? MOT · eng_british_Manchester_I/gail14a.cha, line 311 · Gail 2;04
  4. I've already got some , haven't I ? MOT · eng_british_Manchester_I/gail14a.cha, line 801 · Gail 2;04
  5. I've got some already on , have I ? MOT · eng_british_Manchester_I/gail14a.cha, line 813 · Gail 2;04
  6. you [//] I've cut some off , look . MOT · eng_british_Manchester_I/gail14a.cha, line 1021 · Gail 2;04
  1. eng_british_Manchester_I/gail14a.cha, line 90 · Gail, 2;4.14
    MOTlet's see if it's in here or whether it's the one that was in here that +...
    MOToh yes .
    MOT*MOT: I've been looking for that pair for years .
    MOTlook .
    MOTbrilliant .
  2. eng_british_Manchester_I/gail14a.cha, line 97 · Gail, 2;4.14
    MOTlook .
    MOTbrilliant .
    MOT*MOT: I've got two the same .
    MOTisn't that good ?
    MOTwhat's that ?
  3. eng_british_Manchester_I/gail14a.cha, line 311 · Gail, 2;4.14
    MOTnot really .
    MOTbecause you'll [/] you'll smudge it because you'll want me to do something .
    MOT*MOT: I've taken my varnish off , haven't I , look ?
    CHIwant to put this on ?
    MOTmaybe later .
  4. eng_british_Manchester_I/gail14a.cha, line 801 · Gail, 2;4.14
    MOTthink you did .
    CHIput your lipstick on .
    MOT*MOT: I've already got some , haven't I ?
    CHIxxx .
    CHIno .
  5. eng_british_Manchester_I/gail14a.cha, line 813 · Gail, 2;4.14
    CHIno .
    CHIgot some already on .
    MOT*MOT: I've got some already on , have I ?
    CHIyeah .
    MOTwell .
  6. eng_british_Manchester_I/gail14a.cha, line 1021 · Gail, 2;4.14
    MOToh .
    MOTno .
    MOT*MOT: you [//] I've cut some off , look .
    CHIno .
    MOTwhat do you mean no ?

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_I2.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail14a.chaGail 2;4.142,154662.79

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. i've6 · 100.0%