PHPCLANCHILDES with regular expressions

5 matches in 3 utterances

1.96 per 1,000 words of the child (CHI), in 1 of 1 transcripts (1,336 utterances, 2,554 words searched).

  1. two pretzels . CHI · eng_USA_Bloom/peter06.cha, line 4644 · Peter 2;00
  2. pretzel please # two pretzels # one two pretzels ## one two pretzels please # open that ! CHI · eng_USA_Bloom/peter06.cha, line 4862 · Peter 2;00
  3. pretzel please # two pretzels # one two pretzels ## one two pretzels please # open that ! CHI · eng_USA_Bloom/peter06.cha, line 4862 · Peter 2;00
  4. pretzel please # two pretzels # one two pretzels ## one two pretzels please # open that ! CHI · eng_USA_Bloom/peter06.cha, line 4862 · Peter 2;00
  5. thank you ## two pretzels # xxx . CHI · eng_USA_Bloom/peter06.cha, line 4871 · Peter 2;00
  1. eng_USA_Bloom/peter06.cha, line 4644 · Peter, 2;0.10
    PATit's a pretzel .
    LOIhow many pretzels do you have ?
    CHI*CHI: two pretzels .
    PATmmhm .
    LOII think you have three pretzels .
  2. eng_USA_Bloom/peter06.cha, line 4862 · Peter, 2;0.10
    PATwhat ?
    CHImama ?
    CHI*CHI: pretzel please # two pretzels # one two pretzels ## one two pretzels please # open that !
    CHI# two pretzel please # two .
    MOT0 .
  3. eng_USA_Bloom/peter06.cha, line 4871 · Peter, 2;0.10
    CHI# two pretzel please # two .
    MOT0 .
    CHI*CHI: thank you ## two pretzels # xxx .
    LOIyou have two pretzels ?
    CHIxxx .

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. Peter eng_USA_Bloom1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter06.chaPeter 2;0.102,554351.96

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. pretzels5 · 100.0%