PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (207 utterances, 805 words searched).

  1. chashka u nas est' zholtaja , no zholtoj tarelki net . EVA · russian/Tanja020709.cha, line 134 · Tanja 2;07
  2. net , ne pojmal ljagushku , a kogo on pojmal ? EVA · russian/Tanja020709.cha, line 189 · Tanja 2;07
  3. slushalsja bejbik ili net ? EVA · russian/Tanja020709.cha, line 247 · Tanja 2;07
  1. EVAja xochu zholtuju , potomu chto u menja zholtaja rubashka .
    EVAmozhesh kushat' iz zeljonoj tarelki , u nas tol'ko zeljonyje i krasnuje ?
    EVA*EVA: chashka u nas est' zholtaja , no zholtoj tarelki net .
    EVAptichka pojot .
    EVAptichka pet'.
  2. CHIpojmal ljagushku .
    EVAa eto ljagushka ?
    EVA*EVA: net , ne pojmal ljagushku , a kogo on pojmal ?
    CHIpojmal , pojmal rybku .
    EVAsobaku on pojmal .
  3. EVAon vyxodil .
    EVAdavaj posmotrim na sledujushchuju stranicu .
    EVA*EVA: slushalsja bejbik ili net ?
    CHIna mamu krovatku .
    EVAa sobaka chto zdelala ?

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 russian3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020709.chaTanja 2;07.09805333.73

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. net3 · 100.0%