PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. on va aller se mett(r)e en short et tout . MOT · french/lyon_nat17a.cha, line 497 · Nathan 1;09
  2. allez on se rassoie . 1281452_1282677 MOT · french/lyon_nat17a.cha, line 786 · Nathan 1;09
  3. aller on se rassoie encore deux minutes hein . MOT · french/lyon_nat17a.cha, line 792 · Nathan 1;09
  1. french/lyon_nat17a.cha, line 497 · Nathan, 1;9.3
    CHIyyy . 873120_897505
    MOTet monsieur Nanou !
    MOT*MOT: on va aller se mett(r)e en short et tout .
    JEA+< monsieur Nanou là . 897505_902628
    CHInon . 902628_903247
  2. french/lyon_nat17a.cha, line 786 · Nathan, 1;9.3
    MOTtu veux faire pipi ? 1278750_1280445
    CHIyyy . 1280445_1281452
    MOT*MOT: allez on se rassoie . 1281452_1282677
    CHIyyy . 1282677_1285202
    MOTaller on se rassoie encore deux minutes hein .
  3. french/lyon_nat17a.cha, line 792 · Nathan, 1;9.3
    MOTallez on se rassoie . 1281452_1282677
    CHIyyy . 1282677_1285202
    MOT*MOT: aller on se rassoie encore deux minutes hein .
    MOTpou(r) voir +... 1285202_1293633
    MOT+, si ça vient . 1293633_1296637

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 french3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat17a.chaNathan 1;9.3903333.32

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. se3 · 100.0%