PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

13.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (156 utterances, 525 words searched).

  1. a gde ona byla ? EVA · russian/Tanja021101.cha, line 65 · Tanja 2;11
  2. gde on ? EVA · russian/Tanja021101.cha, line 107 · Tanja 2;11
  3. a gde ljagushka byla ? EVA · russian/Tanja021101.cha, line 229 · Tanja 2;11
  4. a gde ty ejo nashla ? EVA · russian/Tanja021101.cha, line 231 · Tanja 2;11
  5. a gde sejchas akula , Tan'? EVA · russian/Tanja021101.cha, line 245 · Tanja 2;11
  6. a gde sobaka ? EVA · russian/Tanja021101.cha, line 266 · Tanja 2;11
  7. gde ? EVA · russian/Tanja021101.cha, line 270 · Tanja 2;11
  1. russian/Tanja021101.cha, line 65 · Tanja, 2;11.01
    CHItam nel'zja jolku , tol'ko sjuda .
    EVAty pomnish , kogda u tebja byla jolka v proshlom godu ?
    EVA*EVA: a gde ona byla ?
    CHItut , a tut ne byla .
    EVAa Ded Moroz prixodil ?
  2. russian/Tanja021101.cha, line 107 · Tanja, 2;11.01
    EVAeshcho raz skazhi .
    CHIkolik ?
    EVA*EVA: gde on ?
    CHIvot .
    CHIa vot vverx nogami .
  3. russian/Tanja021101.cha, line 229 · Tanja, 2;11.01
    EVAa chto ty tam nashla ?
    CHIxxx xxx xxx .
    EVA*EVA: a gde ljagushka byla ?
    CHIvot .
    EVAa gde ty ejo nashla ?
  4. russian/Tanja021101.cha, line 231 · Tanja, 2;11.01
    EVAa gde ljagushka byla ?
    CHIvot .
    EVA*EVA: a gde ty ejo nashla ?
    CHItam , vot tam .
    EVAon sidel v zhivote u akuly .
  5. russian/Tanja021101.cha, line 245 · Tanja, 2;11.01
    FATv zooparke ?
    CHIv zooparke .
    EVA*EVA: a gde sejchas akula , Tan'?
    CHIv zooparke .
    EVAa obez'janki plavajut ?
  6. russian/Tanja021101.cha, line 266 · Tanja, 2;11.01
    CHItut sobaka .
    EVAda .
    EVA*EVA: a gde sobaka ?
    CHIvot sobaka .
    EVAa sobaka v dome ?
  7. russian/Tanja021101.cha, line 270 · Tanja, 2;11.01
    EVAa sobaka v dome ?
    CHIv dome .
    EVA*EVA: gde ?
    CHIvot .
    EVAa eshcho chto v knizhke , Tan'?

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 russian13.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja021101.chaTanja 2;11.015257713.33

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. gde7 · 100.0%