PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (514 utterances, 1,994 words searched).

  1. that's hot . MOT · eng_USA_Brown/eve10.cha, line 1498 · Eve 1;10
  2. it's much too hot . MOT · eng_USA_Brown/eve10.cha, line 1501 · Eve 1;10
  3. is that hot ? MOT · eng_USA_Brown/eve10.cha, line 1552 · Eve 1;10
  4. too hot to eat ? MOT · eng_USA_Brown/eve10.cha, line 1559 · Eve 1;10
  5. is your soup hot ? COL · eng_USA_Brown/eve10.cha, line 1571 · Eve 1;10
  6. is the cheese sandwich hot ? COL · eng_USA_Brown/eve10.cha, line 1586 · Eve 1;10
  1. MOTwe'll have to cook it first .
    CHIthat ?
    MOT*MOT: that's hot .
    MOTit's much too hot .
    MOTI think you'd better wipe your fingers first .
  2. CHIthat ?
    MOTthat's hot .
    MOT*MOT: it's much too hot .
    MOTI think you'd better wipe your fingers first .
    CHIhave lunch on the table .
  3. CHImy cheese sandwich hot .
    COLyep .
    MOT*MOT: is that hot ?
    CHIyep .
    MOTtoo hot to eat ?
  4. MOTis that hot ?
    CHIyep .
    MOT*MOT: too hot to eat ?
    CHIxxx feel better .
    MOTwhen you feel better .
  5. MOTwhen you feel better .
    MOTokay .
    COL*COL: is your soup hot ?
    CHIno .
    COLit's not ?
  6. COLit's not ?
    CHIno .
    COL*COL: is the cheese sandwich hot ?
    CHIyep .
    MOTit's just right to eat .

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_Brown3.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve10.chaEve 1;10.1,994663.01

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. hot6 · 100.0%