PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (218 utterances, 764 words searched).

  1. on va se met(tre) +/. MOT · french/lyon_nat14b.cha, line 397 · Nathan 1;07
  2. on va se mett(r)e dans le salon . 867647_873487 MOT · french/lyon_nat14b.cha, line 401 · Nathan 1;07
  1. french/lyon_nat14b.cha, line 397 · Nathan, 1;7.8
    CHIyyy . 866067_867647
    MOTben viens .
    MOT*MOT: on va se met(tre) +/.
    MOTvoilà .
    MOTon va se mett(r)e dans le salon . 867647_873487
  2. french/lyon_nat14b.cha, line 401 · Nathan, 1;7.8
    MOTon va se met(tre) +/.
    MOTvoilà .
    MOT*MOT: on va se mett(r)e dans le salon . 867647_873487
    MOTviens avec moi .
    MOTviens [/] viens .

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 french2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat14b.chaNathan 1;7.8764222.62

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. se2 · 100.0%