PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

15.38 per 1,000 words of the child (CHI), in 1 of 1 transcripts (473 utterances, 650 words searched).

  1. no . CHI · eng_USA_Valian/01b.cha, line 239 · 01B 2;01
  2. no . CHI · eng_USA_Valian/01b.cha, line 868 · 01B 2;01
  3. no . CHI · eng_USA_Valian/01b.cha, line 874 · 01B 2;01
  4. &=laugh no [=? Snow], this snow . CHI · eng_USA_Valian/01b.cha, line 1760 · 01B 2;01
  5. no . CHI · eng_USA_Valian/01b.cha, line 2072 · 01B 2;01
  6. no . CHI · eng_USA_Valian/01b.cha, line 2169 · 01B 2;01
  7. no, tee +... CHI · eng_USA_Valian/01b.cha, line 2512 · 01B 2;01
  8. no xxx . CHI · eng_USA_Valian/01b.cha, line 2621 · 01B 2;01
  9. no . CHI · eng_USA_Valian/01b.cha, line 2658 · 01B 2;01
  10. no, here . CHI · eng_USA_Valian/01b.cha, line 2683 · 01B 2;01
  1. MOTwhat's green ?
    CHIgreen . [+ V]
    CHI*CHI: no .
    MOTno ?
    CHIxxx [=! Laugh] .
  2. MOTyeah .
    MOTdo you like grapefruit too ?
    CHI*CHI: no .
    MOTno ?
    MOTdo you eat lemons ?
  3. MOTno ?
    MOTdo you eat lemons ?
    CHI*CHI: no .
    MOTno ?
    MOTI've seen you eat a lemon .
  4. MOTsnow ?
    MOTwhat are you doing ?
    CHI*CHI: &=laugh no [=? Snow], this snow .
    MOTdo you wanna go out that door ?
    MOTyou're blowing a kiss [=! Laugh] ?
  5. MOTNew Investigator .
    MOTcan we go back in the warm room please ?
    CHI*CHI: no .
    INV&=laugh no .
    MOTour time is up, my toes are so cold .
  6. MOTone two three four .
    MOTwhy don't you get them out ?
    CHI*CHI: no .
    MOTno ?
    CHIxx .
  7. CHIteetee@c . [+ V]
    MOTtea and cookies ?
    CHI*CHI: no, tee +...
    CHIxx .
    CHIteetee@c .
  8. CHIyeah .
    MOThere's a cookie .
    CHI*CHI: no xxx .
    INV&=laugh .
    MOTwhat, oh you're eating that cookie .
  9. CHIyeah .
    MOTis there any ice cream for me ?
    CHI*CHI: no .
    MOToh, I'm disappointed .
    MOTcan you find me some ice cream ?
  10. CHIteetees@c, teetees@c, teetees@c, teetees@c .
    MOTcookies ?
    CHI*CHI: no, here .
    MOToh, it should go back in there ?
    CHIyeah .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. 01B eng_USA_Valian15.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/01b.cha01B 2;1.12650101015.38

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. no10 · 100.0%