PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

4.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (237 utterances, 829 words searched).

  1. ko mne , Tan' , ko mne . EVA · russian/Tanja020611.cha, line 143 · Tanja 2;06
  2. ko mne , Tan' , ko mne . EVA · russian/Tanja020611.cha, line 143 · Tanja 2;06
  3. pridi ko mne , pora spat'. EVA · russian/Tanja020611.cha, line 180 · Tanja 2;06
  4. a skol'ko u tebja kukol . EVA · russian/Tanja020611.cha, line 231 · Tanja 2;06
  1. EVAobjasni mne .
    EVAkakaja krasivaja koljaska !
    EVA*EVA: ko mne , Tan' , ko mne .
    EVAchto ty delaesh s bejbikom ?
    CHIkataju bejbika .
  2. EVAlajut , gav+gav+gav .
    EVAa chto zhenshchina skazala koshke ?
    EVA*EVA: pridi ko mne , pora spat'.
    EVAkoshke pora spat'.
    EVApotom muzhchina tozhe prishol .
  3. EVAa chto ty s nim delaesh ?
    EVAmozhesh tu prijti sjuda , Tanja ?
    EVA*EVA: a skol'ko u tebja kukol .
    EVAa gde eta bejbika sidit ?
    CHIbejbi sidit za stolom i kushaet .

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. Tanja russian4.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020611.chaTanja 2;06.11829344.83

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. ko4 · 100.0%