PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (410 utterances, 1,418 words searched).

  1. or we could play snap now if you like . MOT · eng_british_Manchester_I/becky31a.cha, line 703 · Becky 2;10
  2. see if you can get the next one . MOT · eng_british_Manchester_I/becky31a.cha, line 976 · Becky 2;10
  3. because if you can see what's coming then that's cheating . MOT · eng_british_Manchester_I/becky31a.cha, line 1080 · Becky 2;10
  4. if you put them down on the table it might be a bit easier, Becky . MOT · eng_british_Manchester_I/becky31a.cha, line 1122 · Becky 2;10
  5. and what happens if we have two monkeys ? MOT · eng_british_Manchester_I/becky31a.cha, line 1306 · Becky 2;10
  1. eng_british_Manchester_I/becky31a.cha, line 703 · Becky, 2;10.25
    CHIum what can I do now , mum ?
    MOTdo you want to do another one in here ?
    MOT*MOT: or we could play snap now if you like .
    CHIsnap .
    MOTsnap .
  2. eng_british_Manchester_I/becky31a.cha, line 976 · Becky, 2;10.25
    MOTgo on .
    MOTput your card down .
    MOT*MOT: see if you can get the next one .
    CHIoh .
    CHIyou 0have [*] done it again .
  3. eng_british_Manchester_I/becky31a.cha, line 1080 · Becky, 2;10.25
    MOTturn them over .
    CHIwhy ?
    MOT*MOT: because if you can see what's coming then that's cheating .
    CHII won those .
    CHII won those now .
  4. eng_british_Manchester_I/becky31a.cha, line 1122 · Becky, 2;10.25
    CHITessy_Bears .
    MOToh right .
    MOT*MOT: if you put them down on the table it might be a bit easier, Becky .
    MOTno .
    MOTthe other way .
  5. eng_british_Manchester_I/becky31a.cha, line 1306 · Becky, 2;10.25
    MOThow many monkeys ?
    CHIone two .
    MOT*MOT: and what happens if we have two monkeys ?
    CHIdon't know .
    MOTwhat is it we're playing again ?

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. Becky eng_british_Manchester_I3.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.251,418553.53

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. if5 · 100.0%