PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,606 words searched).

  1. au_revoir Tim ! 1680823_1688143 VAL · french/lyon_tim01a.cha, line 1529 · Tim 0;11
  2. au_revoir . MOT · french/lyon_tim01a.cha, line 1534 · Tim 0;11
  3. au_revoir . VAL · french/lyon_tim01a.cha, line 1536 · Tim 0;11
  1. MOTregarde comme ça . 1677252_1680823
    MOTvoilà .
    VAL*VAL: au_revoir Tim ! 1680823_1688143
    CHI+< yyy .
    MOTau_revoir .
  2. VALau_revoir Tim ! 1680823_1688143
    CHI+< yyy .
    MOT*MOT: au_revoir .
    VALau_revoir .
    MOTxxx cuisine ?
  3. CHI+< yyy .
    MOTau_revoir .
    VAL*VAL: au_revoir .
    MOTxxx cuisine ?
    CHIyyy . 1688143_1696367

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. Tim french1.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim01a.chaTim 0;11.171,606331.87

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. au_revoir3 · 100.0%