PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (336 utterances, 1,246 words searched).

  1. e cos' è un nano, unÕ oca, cos' è ? MOT · italian/rosa12.cha, line 386 · Rosa 2;06
  2. un' oca ! MOT · italian/rosa12.cha, line 389 · Rosa 2;06
  3. un' oca . MOT · italian/rosa12.cha, line 396 · Rosa 2;06
  4. oca . MOT · italian/rosa12.cha, line 399 · Rosa 2;06
  5. oca ! MOT · italian/rosa12.cha, line 404 · Rosa 2;06
  1. MOTno ?
    CHIpè no con petto, petto #3_5 coccoè@f e@p chi è pè ?
    MOT*MOT: e cos' è un nano, unÕ oca, cos' è ?
    CHIunÕ occala ?
    MOTun' oca !
  2. MOTe cos' è un nano, unÕ oca, cos' è ?
    CHIunÕ occala ?
    MOT*MOT: un' oca !
    CHIn'@p oca mocca ?
    MOTcome ?
  3. MOTmo +...
    CHImo +/?
    MOT*MOT: un' oca .
    CHImoca .
    MOToca .
  4. MOTun' oca .
    CHImoca .
    MOT*MOT: oca .
    CHImoca .
    MOTmoca ?
  5. MOTmoca ?
    CHIoca !
    MOT*MOT: oca !
    MOTeh !
    CHIpè nmette nbabbo ?

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. Rosa italian4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian/rosa12.chaRosa 2;6.291,246554.01

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. oca5 · 100.0%