PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (864 utterances, 3,259 words searched).

  1. you have two letters . MOT · eng_USA_Brown/eve04.cha, line 1495 · Eve 1;07
  2. one # two letters . MOT · eng_USA_Brown/eve04.cha, line 1498 · Eve 1;07
  3. now how many letters do you have ? MOT · eng_USA_Brown/eve04.cha, line 1533 · Eve 1;07
  4. two letters . MOT · eng_USA_Brown/eve04.cha, line 1540 · Eve 1;07
  5. how many letters do I have ? MOT · eng_USA_Brown/eve04.cha, line 1543 · Eve 1;07
  6. two letters . MOT · eng_USA_Brown/eve04.cha, line 1550 · Eve 1;07
  7. two letters . MOT · eng_USA_Brown/eve04.cha, line 1556 · Eve 1;07
  8. you don't need any more letters # do you ? MOT · eng_USA_Brown/eve04.cha, line 1571 · Eve 1;07
  9. that's enough letters . MOT · eng_USA_Brown/eve04.cha, line 1576 · Eve 1;07
  1. CHIyeah .
    CHIone .
    MOT*MOT: you have two letters .
    MOTone # two letters .
    CHIagain .
  2. CHIone .
    MOTyou have two letters .
    MOT*MOT: one # two letters .
    CHIagain .
    MOTagain ?
  3. CHIthere .
    MOTthere .
    MOT*MOT: now how many letters do you have ?
    CHItwo letter .
    MOTtwo letters .
  4. MOTnow how many letters do you have ?
    CHItwo letter .
    MOT*MOT: two letters .
    MOThow many letters do I have ?
    CHItwo letter .
  5. CHItwo letter .
    MOTtwo letters .
    MOT*MOT: how many letters do I have ?
    CHItwo letter .
    MOTtwo letters .
  6. MOThow many letters do I have ?
    CHItwo letter .
    MOT*MOT: two letters .
    CHIeh ?
    MOTtwo letters .
  7. MOTtwo letters .
    CHIeh ?
    MOT*MOT: two letters .
    MOTone # two .
    CHIhave it .
  8. MOTyou may have it .
    MOTI think that's enough .
    MOT*MOT: you don't need any more letters # do you ?
    MOTthat's enough letters .
    CHItwo letter .
  9. MOTI think that's enough .
    MOTyou don't need any more letters # do you ?
    MOT*MOT: that's enough letters .
    CHItwo letter .
    CHIone # two .

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_Brown2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve04.chaEve 1;7.3,259992.76

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. letters9 · 100.0%