PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 1,268 words searched).

  1. I'll give you two . MEL · eng_USA_Brown/sarah123.cha, line 181 · Sarah 4;09
  2. I'll give you three # two in this one # one in this one and three in this … MEL · eng_USA_Brown/sarah123.cha, line 187 · Sarah 4;09
  3. I'll mop this up for you . MEL · eng_USA_Brown/sarah123.cha, line 295 · Sarah 4;09
  4. I'll mop it all up as soon as +/. MEL · eng_USA_Brown/sarah123.cha, line 299 · Sarah 4;09
  1. MELone drop ?
    CHIyeah .
    MEL*MEL: I'll give you two .
    MELI know .
    MELI'll give you three # two in this one # one in this one and three in this one .
  2. MELI'll give you two .
    MELI know .
    MEL*MEL: I'll give you three # two in this one # one in this one and three in this one .
    MELand then you can compare them and see which one's darker .
    MOTd(o) you want a spoon ?
  3. CHII put a little tiny +...
    CHInow one for that one .
    MEL*MEL: I'll mop this up for you .
    MOTwhat ?
    MELI'll mop it all up as soon as +/.
  4. MELI'll mop this up for you .
    MOTwhat ?
    MEL*MEL: I'll mop it all up as soon as +/.
    MOToh # don't worry about it .
    CHIone for that one .

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. Sarah eng_USA_Brown3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah123.chaSarah 4;9.041,268443.15

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. i'll4 · 100.0%