PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (603 utterances, 2,348 words searched).

  1. two orange shoes . MOT · eng_british_Manchester_I/anne33a.cha, line 61 · Anne 2;09
  2. two orange shoes for you . MOT · eng_british_Manchester_I/anne33a.cha, line 77 · Anne 2;09
  3. is two enough ? MOT · eng_british_Manchester_I/anne33a.cha, line 147 · Anne 2;09
  4. two black ones . MOT · eng_british_Manchester_I/anne33a.cha, line 235 · Anne 2;09
  5. two spots . MOT · eng_british_Manchester_I/anne33a.cha, line 553 · Anne 2;09
  6. two Jamess . MOT · eng_british_Manchester_I/anne33a.cha, line 1027 · Anne 2;09
  1. eng_british_Manchester_I/anne33a.cha, line 61 · Anne, 2;9.08
    MOTshall we give him the same color shoes ?
    CHIyeah .
    MOT*MOT: two orange shoes .
    MOTthey're rather nice ,, aren't they ?
    MOTare they smart ?
  2. eng_british_Manchester_I/anne33a.cha, line 77 · Anne, 2;9.08
    MOTthey should go with that one ,, should they ?
    MOTokay .
    MOT*MOT: two orange shoes for you .
    MOTokay ?
    CHIarms .
  3. eng_british_Manchester_I/anne33a.cha, line 147 · Anne, 2;9.08
    MOTshall we draw another one ?
    MOTno ?
    MOT*MOT: is two enough ?
    CHIyeah .
    MOTokay .
  4. eng_british_Manchester_I/anne33a.cha, line 235 · Anne, 2;9.08
    MOToh .
    MOTseem to get xxx there , look .
    MOT*MOT: two black ones .
    MOTthree black ones .
    MOTwhat a lot of black pens I've got today .
  5. eng_british_Manchester_I/anne33a.cha, line 553 · Anne, 2;9.08
    MOThow many spots ?
    CHItwo .
    MOT*MOT: two spots .
    MOTand one eye .
    MOTsome little feet .
  6. eng_british_Manchester_I/anne33a.cha, line 1027 · Anne, 2;9.08
    MOTJames .
    CHItwo Jamess .
    MOT*MOT: two Jamess .
    CHIJames_Bird and James +...
    CHIwho is other James ?

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. Anne eng_british_Manchester_I2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne33a.chaAnne 2;9.082,348662.56

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. two6 · 100.0%