PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.03 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (163 utterances, 744 words searched).

  1. tu connais les chats . 201716_203103 MOT · french/lyon_mar06b.cha, line 117 · Marie 1;02
  2. oh , ah les petits oiseaux . 257913_260714 GER · french/lyon_mar06b.cha, line 176 · Marie 1;02
  3. tu fais comme les chats ? 297748_299030 GER · french/lyon_mar06b.cha, line 230 · Marie 1;02
  1. MOTun hérisson . 195060_197715
    MOT(...) un chat . 197715_201716
    MOT*MOT: tu connais les chats . 201716_203103
    MOTun moineau . 203103_207076
    MOTon www [= ! li] en a vu un ce matin , un moin(eau) [//] un moineau pardon . 207076_210273
  2. CHIyyy .
    GERtu viens me montrer .
    GER*GER: oh , ah les petits oiseaux . 257913_260714
    GERet là c'est quoi c'est le cochon d'Inde . 260714_263278
    CHIyyy . 263278_268703
  3. GERchacun a son livre .
    GERtu miaules ? 296150_297748
    GER*GER: tu fais comme les chats ? 297748_299030
    CHIyyy . 299030_312875
    MOTet le chien il fait comment ?

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. Marie french4.03
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar06b.chaMarie 1;2.27744334.03

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. les3 · 100.0%