PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

8.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (450 utterances, 1,570 words searched).

  1. the red one . MOT · eng_british_Manchester_I/anne19b.cha, line 617 · Anne 2;04
  2. is it red ? MOT · eng_british_Manchester_I/anne19b.cha, line 627 · Anne 2;04
  3. is it red like this ? MOT · eng_british_Manchester_I/anne19b.cha, line 631 · Anne 2;04
  4. that one's red . MOT · eng_british_Manchester_I/anne19b.cha, line 641 · Anne 2;04
  5. on the red one ? MOT · eng_british_Manchester_I/anne19b.cha, line 675 · Anne 2;04
  6. another red one . MOT · eng_british_Manchester_I/anne19b.cha, line 681 · Anne 2;04
  7. and another red one . MOT · eng_british_Manchester_I/anne19b.cha, line 683 · Anne 2;04
  8. blue's on the red one . MOT · eng_british_Manchester_I/anne19b.cha, line 685 · Anne 2;04
  9. and a red one . MOT · eng_british_Manchester_I/anne19b.cha, line 768 · Anne 2;04
  10. another red one . MOT · eng_british_Manchester_I/anne19b.cha, line 770 · Anne 2;04
  11. and a red one . MOT · eng_british_Manchester_I/anne19b.cha, line 772 · Anne 2;04
  12. can I have some red ones off here ? MOT · eng_british_Manchester_I/anne19b.cha, line 774 · Anne 2;04
  13. we need a green and [/] and a red one . MOT · eng_british_Manchester_I/anne19b.cha, line 783 · Anne 2;04
  1. MOToh no .
    MOTput that one there .
    MOT*MOT: the red one .
    MOTwhat color's that one ?
    CHIred .
  2. MOToh .
    MOTyou look .
    MOT*MOT: is it red ?
    CHIred .
    MOTis it red like this ?
  3. MOTis it red ?
    CHIred .
    MOT*MOT: is it red like this ?
    CHIno .
    MOTno .
  4. MOTit's green .
    CHIgreen .
    MOT*MOT: that one's red .
    CHIred .
    MOTyeah .
  5. MOTwhere this go ?
    MOTwww .
    MOT*MOT: on the red one ?
    CHIyes .
    MOTthere we go .
  6. CHIyes .
    MOTthere we go .
    MOT*MOT: another red one .
    MOTand another red one .
    MOTblue's on the red one .
  7. MOTthere we go .
    MOTanother red one .
    MOT*MOT: and another red one .
    MOTblue's on the red one .
    CHIwhere this go ?
  8. MOTanother red one .
    MOTand another red one .
    MOT*MOT: blue's on the red one .
    CHIwhere this go ?
    MOTum +...
  9. MOTa green one .
    MOTanother green one .
    MOT*MOT: and a red one .
    MOTanother red one .
    MOTand a red one .
  10. MOTanother green one .
    MOTand a red one .
    MOT*MOT: another red one .
    MOTand a red one .
    MOTcan I have some red ones off here ?
  11. MOTand a red one .
    MOTanother red one .
    MOT*MOT: and a red one .
    MOTcan I have some red ones off here ?
    CHIyes .
  12. MOTanother red one .
    MOTand a red one .
    MOT*MOT: can I have some red ones off here ?
    CHIyes .
    MOTthank you .
  13. MOTthank you .
    MOTwhoops .
    MOT*MOT: we need a green and [/] and a red one .
    MOToh .
    MOTthat's no good .

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_I8.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne19b.chaAnne 2;4.121,57013138.28

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. red13 · 100.0%