PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

6.81 per 1,000 words of the child (CHI), in 1 of 1 transcripts (741 utterances, 1,322 words searched).

  1. cheese ? CHI · eng_USA_Brown/eve01.cha, line 1559 · Eve 1;06
  2. cheese too . CHI · eng_USA_Brown/eve01.cha, line 4707 · Eve 1;06
  3. Mommy cheese ? CHI · eng_USA_Brown/eve01.cha, line 4825 · Eve 1;06
  4. Mommy cheese ? CHI · eng_USA_Brown/eve01.cha, line 4828 · Eve 1;06
  5. Mommy cheese ? CHI · eng_USA_Brown/eve01.cha, line 4831 · Eve 1;06
  6. drop a cheese . CHI · eng_USA_Brown/eve01.cha, line 4965 · Eve 1;06
  7. drop a cheese . CHI · eng_USA_Brown/eve01.cha, line 4968 · Eve 1;06
  8. drop a cheese . CHI · eng_USA_Brown/eve01.cha, line 4971 · Eve 1;06
  9. drop a cheese . CHI · eng_USA_Brown/eve01.cha, line 4980 · Eve 1;06
  1. MOTread .
    MOTyou read .
    CHI*CHI: cheese ?
    MOTyes # we're going to have cheese for lunch .
    MOTcan you get your chair ?
  2. MOTxxx tapioca too .
    CHItoo .
    CHI*CHI: cheese too .
    MOTwould you like a cracker ?
    CHIxxx spoon .
  3. MOTit's a cracker .
    MOTwould you like another piece of cheese ?
    CHI*CHI: Mommy cheese ?
    CHIMommy cheese ?
    CHIMommy cheese ?
  4. MOTwould you like another piece of cheese ?
    CHIMommy cheese ?
    CHI*CHI: Mommy cheese ?
    CHIMommy cheese ?
    MOTyou have a piece of cheese right there .
  5. CHIMommy cheese ?
    CHIMommy cheese ?
    CHI*CHI: Mommy cheese ?
    MOTyou have a piece of cheese right there .
    CHIMommy swing ?
  6. CHIMommy [/] Mommy carrot .
    MOTwhat ?
    CHI*CHI: drop a cheese .
    CHIdrop a cheese .
    CHIdrop a cheese .
  7. MOTwhat ?
    CHIdrop a cheese .
    CHI*CHI: drop a cheese .
    CHIdrop a cheese .
    MOTI don't know what you said .
  8. CHIdrop a cheese .
    CHIdrop a cheese .
    CHI*CHI: drop a cheese .
    MOTI don't know what you said .
    MOToh you dropped the cheese .
  9. MOTI don't know what you said .
    MOToh you dropped the cheese .
    CHI*CHI: drop a cheese .
    CHIhave it .
    MOTyou don't want this .

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_Brown6.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve01.chaEve 1;6.1,322996.81

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. cheese9 · 100.0%