PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. davaj prochitaem emu knigu . EVA · russian/Tanja020611.cha, line 102 · Tanja 2;06
  2. prinise knigu o xru'shke . EVA · russian/Tanja020611.cha, line 321 · Tanja 2;06
  3. ladno , budem chitat' knigu pro zajchika . EVA · russian/Tanja020611.cha, line 342 · Tanja 2;06
  1. EVAu nego teper' uzhe est' sumka .
    EVAon ochen' ljubit knizhki .
    EVA*EVA: davaj prochitaem emu knigu .
    EVAdavaj sjadem okolo nego .
    EVAchto zdes' na kartinke ?
  2. EVAnu ne xochesh ?
    CHInet , ne+ne+ne .
    EVA*EVA: prinise knigu o xru'shke .
    EVAtan' ja ne mogu spat .
    EVApozhalujsta , chitaj mne chto+nibud'.
  3. EVAa kto eshcho upal v vodu ?
    CHIpro zajchika budem , pro zajchika , vot .
    EVA*EVA: ladno , budem chitat' knigu pro zajchika .
    EVAty chitaj .
    EVAchto zajchik delaet na pervoj stranice ?

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 russian3.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020611.chaTanja 2;06.11829333.62

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. knigu3 · 100.0%