PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,543 words searched).

  1. e te come sei grande o piccola ? MOT · italian/rosa08.cha, line 301 · Rosa 2;02
  2. prima ha detto <sei a lavorare ?> ["] MOT · italian/rosa08.cha, line 468 · Rosa 2;02
  3. te la sei dimenticata ? MOT · italian/rosa08.cha, line 651 · Rosa 2;02
  4. nove , dieci e il cinque dove l' hai lasciato e il sei . MOT · italian/rosa08.cha, line 847 · Rosa 2;02
  5. sei . MOT · italian/rosa08.cha, line 1015 · Rosa 2;02
  1. CHIn@p chine .
    MOTpiccoline .
    MOT*MOT: e te come sei grande o piccola ?
    CHIpiccala # <pi> [>] ?
    MOT<piccala> [<] e quella ?
  2. CHIumh@i !
    CHI# un@p laghi ?
    MOT*MOT: prima ha detto <sei a lavorare ?> ["]
    MOTora <cosa fai> ["] .
    CHIo@p fai ?
  3. MOT# cosa gli porta le focacce ?
    CHIno !
    MOT*MOT: te la sei dimenticata ?
    CHIuhm@i !
    MOTnon te la ricordi pió, eh ?
  4. MOTma comincia da uno , due dai # tre .
    CHItre # otto ove dieci .
    MOT*MOT: nove , dieci e il cinque dove l' hai lasciato e il sei .
    CHIlà .
    MOTcome là .
  5. MOTcinque .
    CHIcinche .
    MOT*MOT: sei .
    CHIsei .
    MOTsette .

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 italian3.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian/rosa08.chaRosa 2;02.111,543553.24

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. sei5 · 100.0%