PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

4.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (517 utterances, 2,147 words searched).

  1. let's turn that off like that . MOT · eng_british_Manchester_II/nic24a.cha, line 469 · Nicole 2;09
  2. let's indicate . MOT · eng_british_Manchester_II/nic24a.cha, line 562 · Nicole 2;09
  3. let's walk . INV · eng_british_Manchester_II/nic24a.cha, line 591 · Nicole 2;09
  4. let's [/] let's pretend we're in the cafe . INV · eng_british_Manchester_II/nic24a.cha, line 605 · Nicole 2;09
  5. let's [/] let's pretend we're in the cafe . INV · eng_british_Manchester_II/nic24a.cha, line 605 · Nicole 2;09
  6. let's do +... MOT · eng_british_Manchester_II/nic24a.cha, line 1135 · Nicole 2;09
  7. let's look at the book like this . MOT · eng_british_Manchester_II/nic24a.cha, line 1538 · Nicole 2;09
  8. let's look at the book . MOT · eng_british_Manchester_II/nic24a.cha, line 1585 · Nicole 2;09
  9. let's turn the pages . MOT · eng_british_Manchester_II/nic24a.cha, line 1611 · Nicole 2;09
  1. MOTI know we're going to the seaside .
    MOTbut +...
    MOT*MOT: let's turn that off like that .
    MOTnow .
    MOT<when the car> [//] when we push that up that little green arrow comes out .
  2. MOToff you go .
    MOTthere .
    MOT*MOT: let's indicate .
    MOTand then we're going right .
    MOTthere .
  3. INVI'm coming .
    MOThmm ?
    INV*INV: let's walk .
    MOTyeah .
    MOToff we go .
  4. CHICaroline stand up .
    INVI don't want to stand up .
    INV*INV: let's [/] let's pretend we're in the cafe .
    MOTnow .
    MOTCaroline and I have got our cup of tea .
  5. CHINicole .
    CHIMummy .
    MOT*MOT: let's do +...
    CHIbaa baa black sheep .
    MOToh .
  6. CHIxxx .
    CHIoh .
    MOT*MOT: let's look at the book like this .
    CHIwhere going ?
    MOTI'm not going anywhere .
  7. MOTwe've had a cup of tea .
    MOTyou've drunk mine , haven't you ?
    MOT*MOT: let's look at the book .
    CHIxxx .
    MOTdon't do that .
  8. MOTor shall we turn the page ?
    MOTsit down .
    MOT*MOT: let's turn the pages .
    MOTsee what's on the next page .
    MOTplay+school .

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. Nicole eng_british_Manchester_II4.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24a.chaNicole 2;9.032,147894.19

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. let's9 · 100.0%