PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.28 per 1,000 words of the child (CHI), in 1 of 1 transcripts (651 utterances, 2,190 words searched).

  1. meat # not meat . CHI · eng_USA_Brown/eve19.cha, line 3173 · Eve 2;03
  2. meat # not meat . CHI · eng_USA_Brown/eve19.cha, line 3173 · Eve 2;03
  3. meat . CHI · eng_USA_Brown/eve19.cha, line 3187 · Eve 2;03
  4. that for we cook our meat for . CHI · eng_USA_Brown/eve19.cha, line 3251 · Eve 2;03
  5. I like some xxx some meat . CHI · eng_USA_Brown/eve19.cha, line 3293 · Eve 2;03
  1. CHIpeas .
    MOTwhat kind of meat are we having ?
    CHI*CHI: meat # not meat .
    MOTaren't we having any meat ?
    CHIyeah .
  2. CHIyeah .
    MOTwhat ?
    CHI*CHI: meat .
    MOTwhat kind of meat ?
    CHIxxx .
  3. MOTthat's the cooking place .
    MOTwhat is the cooking place .
    CHI*CHI: that for we cook our meat for .
    FATthat's where you cook the meat ?
    CHIyeah .
  4. MOTwhy don't you cook something else .
    MOTI like some meat # please .
    CHI*CHI: I like some xxx some meat .
    MOTwhat kind of meat ?
    CHIbig ones .

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. Eve eng_USA_Brown2.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve19.chaEve 2;3.2,190452.28

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. meat5 · 100.0%