PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,435 words searched).

  1. un cane grande . MOT · italian_new/linda_24_541.cha, line 186 · Linda 2;00
  2. come fa il cane grande ? MOT · italian_new/linda_24_541.cha, line 187 · Linda 2;00
  3. grande o piccolo ? MOT · italian_new/linda_24_541.cha, line 201 · Linda 2;00
  4. ma tu sei grande . MOT · italian_new/linda_24_541.cha, line 314 · Linda 2;00
  5. sei grande tu . MOT · italian_new/linda_24_541.cha, line 316 · Linda 2;00
  1. MOTcos' è ?
    CHIcane grande .
    MOT*MOT: un cane grande .
    MOTcome fa il cane grande ?
    CHIx@o .
  2. CHIcane grande .
    MOTun cane grande .
    MOT*MOT: come fa il cane grande ?
    CHIx@o .
    MOTx@o .
  3. MOTun orsetto .
    CHIgrande .
    MOT*MOT: grande o piccolo ?
    MOTguarda vieni a vedere .
    MOTcosa c' è qua ?
  4. MOTtu ti siedi sul lettino del bimbo ?
    CHIsi .
    MOT*MOT: ma tu sei grande .
    CHIno .
    MOTsei grande tu .
  5. MOTma tu sei grande .
    CHIno .
    MOT*MOT: sei grande tu .
    CHIno .
    MOTcosa sei uh ?

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. Linda italian_new3.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
italian_new/linda_24_541.chaLinda 2;00.021,435553.48

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. grande5 · 100.0%