PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. isn't that good ? MOT · eng_british_Manchester_I/gail14a.cha, line 99 · Gail 2;04
  2. that's good news , isn't it ? MOT · eng_british_Manchester_I/gail14a.cha, line 107 · Gail 2;04
  3. that's not a good idea to play with , is it ? MOT · eng_british_Manchester_I/gail14a.cha, line 268 · Gail 2;04
  4. have a good look . MOT · eng_british_Manchester_I/gail14a.cha, line 401 · Gail 2;04
  5. oh good . MOT · eng_british_Manchester_I/gail14a.cha, line 565 · Gail 2;04
  6. are you good at sewing ? MOT · eng_british_Manchester_I/gail14a.cha, line 931 · Gail 2;04
  7. it's not very good , Hamleys anyway . MOT · eng_british_Manchester_I/gail14a.cha, line 1235 · Gail 2;04
  8. that's a good story . MOT · eng_british_Manchester_I/gail14a.cha, line 1455 · Gail 2;04
  1. MOTbrilliant .
    MOTI've got two the same .
    MOT*MOT: isn't that good ?
    MOTwhat's that ?
    MOTxxx very valuable .
  2. MOTxxx very valuable .
    MOTwell .
    MOT*MOT: that's good news , isn't it ?
    MOTshall I put them on ?
    MOTxxx .
  3. MOToh .
    MOTpin .
    MOT*MOT: that's not a good idea to play with , is it ?
    MOTno ?
    MOTit's sharp .
  4. MOTcan you find two earrings the same then ?
    MOTcan you ?
    MOT*MOT: have a good look .
    MOTlet's [//] I'll find you one to start with .
    CHIhere .
  5. MOTwhat do you call me now ?
    CHImummy .
    MOT*MOT: oh good .
    MOTare you gonna [: going to] help me put all these back in the pot ?
    MOTare you ?
  6. MOTright .
    CHImummy .
    MOT*MOT: are you good at sewing ?
    MOTwhat color's it gonna [: going to] be ?
    MOTum I don't want you unraveling all that .
  7. MOTnot the big one ?
    MOTright .
    MOT*MOT: it's not very good , Hamleys anyway .
    CHIno .
    MOTtoo expensive .
  8. MOTat last .
    MOTthat's right .
    MOT*MOT: that's a good story .
    MOTbut we've read that one now .
    MOTdo you want to put it back ?

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_I3.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail14a.chaGail 2;4.142,154883.71

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. good8 · 100.0%