PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

2.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (842 utterances, 3,076 words searched).

  1. Kathy doesn't want a letter . MOT · eng_USA_Brown/eve01.cha, line 3315 · Eve 1;06
  2. yes # that's Kathy xxx . MOT · eng_USA_Brown/eve01.cha, line 4443 · Eve 1;06
  3. yes # that's Kathy . MOT · eng_USA_Brown/eve01.cha, line 4475 · Eve 1;06
  4. no # later I think Kathy's about to go in the house . MOT · eng_USA_Brown/eve01.cha, line 4527 · Eve 1;06
  5. yes # that's Kathy . MOT · eng_USA_Brown/eve01.cha, line 4574 · Eve 1;06
  6. yes # Kathy was crying . MOT · eng_USA_Brown/eve01.cha, line 4604 · Eve 1;06
  7. Kathy was unhappy . MOT · eng_USA_Brown/eve01.cha, line 4607 · Eve 1;06
  8. Kathy can't fix it . MOT · eng_USA_Brown/eve01.cha, line 4623 · Eve 1;06
  1. MOTwhat did you say ?
    CHIKathy letter ?
    MOT*MOT: Kathy doesn't want a letter .
    MOTno .
    CHIno [/] # no .
  2. CHIfind it .
    CHIthat Kathy .
    MOT*MOT: yes # that's Kathy xxx .
    CHIsleep .
    MOTxxx .
  3. MOTyes # you get it .
    CHIthat Kathy .
    MOT*MOT: yes # that's Kathy .
    CHIoutside .
    CHIgo [?] outside ?
  4. MOTwe'll go outside later .
    CHIoutside .
    MOT*MOT: no # later I think Kathy's about to go in the house .
    CHIMommy .
    MOTthere .
  5. CHIthat Kathy .
    CHIthat Kathy .
    MOT*MOT: yes # that's Kathy .
    CHIop(en) .
    CHIop(en) .
  6. MOTI'll fix it once more and that's all .
    CHIKathy cry .
    MOT*MOT: yes # Kathy was crying .
    MOTKathy was unhappy .
    CHIfix ?
  7. CHIKathy cry .
    MOTyes # Kathy was crying .
    MOT*MOT: Kathy was unhappy .
    CHIfix ?
    MOTno .
  8. MOTyou have to fix it .
    CHIKathy fix .
    MOT*MOT: Kathy can't fix it .
    MOTyou fix it .
    CHI<window window> [/] window .

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. Eve eng_USA_Brown2.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve01.chaEve 1;6.3,076882.60

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. kathy8 · 100.0%