PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (589 utterances, 2,074 words searched).

  1. all these different pictures . MOT · eng_british_Manchester_I/gail17a.cha, line 1339 · Gail 2;05
  2. you can pop all these cards out , look . MOT · eng_british_Manchester_I/gail17a.cha, line 1375 · Gail 2;05
  3. and then you have to find ones that look like the ones on these cards , don't we ? MOT · eng_british_Manchester_I/gail17a.cha, line 1379 · Gail 2;05
  4. we don't need these bits , look . MOT · eng_british_Manchester_I/gail17a.cha, line 1724 · Gail 2;05
  5. these were just packaging . MOT · eng_british_Manchester_I/gail17a.cha, line 1726 · Gail 2;05
  6. get rid of these . MOT · eng_british_Manchester_I/gail17a.cha, line 1734 · Gail 2;05
  7. choose one of these , look . MOT · eng_british_Manchester_I/gail17a.cha, line 1752 · Gail 2;05
  1. MOTall the +...
    MOTAndy's got a dirty nappy .
    MOT*MOT: all these different pictures .
    MOTcan you tell me what they are ?
    MOTmustn't lose them down the holes in the floor+boards , must we ?
  2. MOTwww .
    MOTright .
    MOT*MOT: you can pop all these cards out , look .
    MOTpop them all out .
    MOTand then you have to find ones that look like the ones on these cards , don't we ?
  3. MOTyou can pop all these cards out , look .
    MOTpop them all out .
    MOT*MOT: and then you have to find ones that look like the ones on these cards , don't we ?
    MOTyeah ?
    CHIhere's a doggie .
  4. CHIyeah .
    MOTxxx .
    MOT*MOT: we don't need these bits , look .
    MOTthese were just packaging .
    CHIwhat's those one do ?
  5. MOTxxx .
    MOTwe don't need these bits , look .
    MOT*MOT: these were just packaging .
    CHIwhat's those one do ?
    CHIthose .
  6. CHIthose .
    MOTwhat you do is +...
    MOT*MOT: get rid of these .
    MOTout of the way .
    MOTput those on the fire .
  7. MOTno .
    MOTchoose a board .
    MOT*MOT: choose one of these , look .
    MOTwhich one do you want ?
    MOTchoose one .

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_I3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail17a.chaGail 2;5.182,074773.38

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. these7 · 100.0%