PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,438 words searched).

  1. <viens voir> [//] viens me voir . MOT · french/lyon_nat19a.cha, line 545 · Nathan 1;10
  2. bon va falloir qu(e) j'aille me laver moi . 1275830_1278862 MOT · french/lyon_nat19a.cha, line 983 · Nathan 1;10
  1. MOTpasse là . 631658_636665
    MOTvoilà .
    MOT*MOT: <viens voir> [//] viens me voir .
    MOTça va pas comme ça . 636665_638805
    MOTon va faire comme ça . 638805_645498
  2. MOTelles sont où les poubelles Jea tu sais ? 1261723_1263493
    MOTelles sont pas dans l(e) camion ? 1263493_1275830
    MOT*MOT: bon va falloir qu(e) j'aille me laver moi . 1275830_1278862
    JEAoh non . 1278862_1288123
    MOTben si .

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 french1.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat19a.chaNathan 1;10.191,438221.39

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. me2 · 100.0%