PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (250 utterances, 995 words searched).

  1. a gde ? EVA · russian/Tanja020815.cha, line 172 · Tanja 2;08
  2. gde etot bejbik ? EVA · russian/Tanja020815.cha, line 288 · Tanja 2;08
  3. a gde segodnja papa ? EVA · russian/Tanja020815.cha, line 314 · Tanja 2;08
  4. gde papa ? MOT · russian/Tanja020815.cha, line 315 · Tanja 2;08
  5. a gde baba i ded ? MOT · russian/Tanja020815.cha, line 317 · Tanja 2;08
  6. a pokazhi , gde ty byla ? MOT · russian/Tanja020815.cha, line 344 · Tanja 2;08
  7. gde ty byla , Tan'? EVA · russian/Tanja020815.cha, line 345 · Tanja 2;08
  8. a zdes' gde ty ? EVA · russian/Tanja020815.cha, line 389 · Tanja 2;08
  1. EVAoni v zooparke ili net ?
    CHIoni ne v zooparke .
    EVA*EVA: a gde ?
    CHIoni xxx .
    EVAoni ushli iz zooparka ?
  2. CHIne prosnulsja [% pushes stroller] .
    EVAa chto ty delaesh sejchas , Tanja , mozhesh rasskazat ?
    EVA*EVA: gde etot bejbik ?
    EVAa mozhet , eto devochka .
    CHIeto , naverno , bejbik .
  3. EVAnu ty tuda ne xochesh s mamoj i s papoj za knizhkami ?
    EVAili prosto poigratsja ?
    EVA*EVA: a gde segodnja papa ?
    MOTgde papa ?
    CHIna rabote .
  4. EVAili prosto poigratsja ?
    EVAa gde segodnja papa ?
    MOT*MOT: gde papa ?
    CHIna rabote .
    MOTa gde baba i ded ?
  5. MOTgde papa ?
    CHIna rabote .
    MOT*MOT: a gde baba i ded ?
    CHIoni uleteli na samolete .
    MOTa v kakoj gorod ?
  6. CHIeto bejbika Katja .
    MOTkatja , Katjusha .
    MOT*MOT: a pokazhi , gde ty byla ?
    EVAgde ty byla , Tan'?
    MOTkto eto ?
  7. MOTkatja , Katjusha .
    MOTa pokazhi , gde ty byla ?
    EVA*EVA: gde ty byla , Tan'?
    MOTkto eto ?
    MOTlebed'.
  8. MOTda .
    CHImama .
    EVA*EVA: a zdes' gde ty ?
    CHIa zdes' ne v koljaske .
    MOTzdes' stoish .

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 russian8.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
russian/Tanja020815.chaTanja 2;08.15995888.04

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. gde8 · 100.0%