PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (427 utterances, 2,032 words searched).

  1. one # two # three # four # five # six # seven # eight # nine # ten . ANN · eng_USA_Brown/sarah133.cha, line 915 · Sarah 4;11
  2. one # two # three # four # five # six # seven # eight +... MOT · eng_USA_Brown/sarah133.cha, line 934 · Sarah 4;11
  3. one # two # three # four # five # six # seven # eight # nine +... ANN · eng_USA_Brown/sarah133.cha, line 944 · Sarah 4;11
  4. one # two # three # four # five # six # seven # eight # nine +... ANN · eng_USA_Brown/sarah133.cha, line 947 · Sarah 4;11
  5. one # two # three # four # five # six # seven # eight # nine +... ANN · eng_USA_Brown/sarah133.cha, line 952 · Sarah 4;11
  1. ANNan(d) hurry up .
    ANNI'll give you ten to get out .
    ANN*ANN: one # two # three # four # five # six # seven # eight # nine # ten .
    CHI0 .
    GAIwhat's that ?
  2. ANNI'll give you ten to get it .
    CHI0 .
    MOT*MOT: one # two # three # four # five # six # seven # eight +...
    CHIno .
    MOTwhat do you want to do # take all her treasures ?
  3. MOTwhat do you want to do # take all her treasures ?
    ANNnine +...
    ANN*ANN: one # two # three # four # five # six # seven # eight # nine +...
    ANNone # two # three # four # five # six # seven # eight # nine +...
    MOThurry up .
  4. ANNnine +...
    ANNone # two # three # four # five # six # seven # eight # nine +...
    ANN*ANN: one # two # three # four # five # six # seven # eight # nine +...
    MOThurry up .
    ANNone # two # three # four # five # six # seven # eight # nine +...
  5. ANNone # two # three # four # five # six # seven # eight # nine +...
    MOThurry up .
    ANN*ANN: one # two # three # four # five # six # seven # eight # nine +...
    CHIthat's enough .
    CHIthere's no other presents .

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_Brown2.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah133.chaSarah 4;11.262,032552.46

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. eight5 · 100.0%