PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. shall we do the numbers first ? MOT · eng_british_Manchester_I/becky02a.cha, line 1046 · Becky 2;00
  2. they're numbers, aren't they ? MOT · eng_british_Manchester_I/becky02a.cha, line 1066 · Becky 2;00
  3. numbers [<] . MOT · eng_british_Manchester_I/becky02a.cha, line 1070 · Becky 2;00
  4. and these are the numbers . MOT · eng_british_Manchester_I/becky02a.cha, line 1122 · Becky 2;00
  5. can you say some numbers for me, Becky ? MOT · eng_british_Manchester_I/becky02a.cha, line 1148 · Becky 2;00
  6. can you say these numbers ? MOT · eng_british_Manchester_I/becky02a.cha, line 1156 · Becky 2;00
  7. the numbers in there and I'll put the letters in here . MOT · eng_british_Manchester_I/becky02a.cha, line 1292 · Becky 2;00
  1. CHIyeah .
    MOTgo on .
    MOT*MOT: shall we do the numbers first ?
    CHIyeah .
    MOTone .
  2. MOTletters .
    MOTno .
    MOT*MOT: they're numbers, aren't they ?
    CHInumbers [>] .
    MOTnumbers [<] .
  3. MOTthey're numbers, aren't they ?
    CHInumbers [>] .
    MOT*MOT: numbers [<] .
    CHIletters .
    MOTgo and see if there's another letter on the fridge that you've forgotten .
  4. MOTthat doesn't say Becky Dodson .
    MOTthis says Becky Dodson .
    MOT*MOT: and these are the numbers .
    MOTone .
    MOTtwo .
  5. CHIhello Sukie .
    MOTwww .
    MOT*MOT: can you say some numbers for me, Becky ?
    CHI&a want there ?
    MOTI don't think Sukie wants them .
  6. CHI&a want there ?
    MOTI don't think Sukie wants them .
    MOT*MOT: can you say these numbers ?
    CHIyeah .
    MOTone .
  7. MOT<put these letters in> [//] put the letters in there .
    MOTput them in there +//.
    MOT*MOT: the numbers in there and I'll put the letters in here .
    MOTshall we put the people back in the house ?
    CHIyeah .

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_I3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,988773.52

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. numbers7 · 100.0%