PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (222 utterances, 843 words searched).

  1. on lui donne à Jea ? 164903_165897 MOT · french/lyon_nat22b.cha, line 148 · Nathan 2;05
  2. allez donne un petit bout à Jea . 176038_177930 MOT · french/lyon_nat22b.cha, line 177 · Nathan 2;05
  3. on donne à Jea ? 337138_338598 MOT · french/lyon_nat22b.cha, line 236 · Nathan 2;05
  1. MOTtu réponds à Jea ? 160310_161420
    MOTest-ce qu'i(l) peut en avoir Jea ? 161420_164903
    MOT*MOT: on lui donne à Jea ? 164903_165897
    CHInon . 165897_167257
    MOTnon ? 167257_169063
  2. MOTun petit bout . 174178_175058
    CHInon . 175058_176038
    MOT*MOT: allez donne un petit bout à Jea . 176038_177930
    JEAmoi j'en prend un petit bout . 177930_180915
    JEAcomme ça . 180915_182473
  3. MOTtu veux donner à Jea ? 333148_334210
    CHImh . 334210_337138
    MOT*MOT: on donne à Jea ? 337138_338598
    MOTtu en veux pas ? 338598_339510
    CHImh . 339510_340985

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 french3.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_nat22b.chaNathan 2;5.18843333.56

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. donne3 · 100.0%