PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 903 words searched).

  1. bravo . 872827_873120 MOT · french/lyon_nat17a.cha, line 489 · Nathan 1;09
  2. voilà bravo . 1604642_1607237 MOT · french/lyon_nat17a.cha, line 949 · Nathan 1;09
  1. french/lyon_nat17a.cha, line 489 · Nathan, 1;9.3
    MOTho(p) <tu passes> [/] <tu passes> [/] tu passes . 869345_871132
    MOToui . 871132_872827
    MOT*MOT: bravo . 872827_873120
    CHIyyy . 873120_897505
    MOTet monsieur Nanou !
  2. french/lyon_nat17a.cha, line 949 · Nathan, 1;9.3
    MOTpas comme Atila . 1601623_1602952
    CHIyyy . 1602952_1604642
    MOT*MOT: voilà bravo . 1604642_1607237
    MOTallez on le pose . 1607237_1609263
    MOTon descend . 1609263_1609832

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. Nathan french2.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903222.21

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. bravo2 · 100.0%