PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (364 utterances, 1,264 words searched).

  1. mets en un gros bout . MOT · french/lyon_ana18a.cha, line 726 · Anais 1;09
  2. on va en mettre un gros bout . MOT · french/lyon_ana18a.cha, line 728 · Anais 1;09
  3. le p(e)tit bout ? MOT · french/lyon_ana18a.cha, line 995 · Anais 1;09
  1. french/lyon_ana18a.cha, line 726 · Anais, 1;9.22
    MOTmh c'est trop p(e)tit .
    MOTfaut qu(e) t(u) en mettes plus Noune .
    MOT*MOT: mets en un gros bout .
    MOTon va en mettre un gros bout .
    MOTtiens j(e) te le donne .
  2. french/lyon_ana18a.cha, line 728 · Anais, 1;9.22
    MOTfaut qu(e) t(u) en mettes plus Noune .
    MOTmets en un gros bout .
    MOT*MOT: on va en mettre un gros bout .
    MOTtiens j(e) te le donne .
    MOTvas_y .
  3. french/lyon_ana18a.cha, line 995 · Anais, 1;9.22
    MOTattends il est pénible ce ch(e)veu . 1234313_1253897
    CHIlà .
    MOT*MOT: le p(e)tit bout ?
    CHIyyy .
    MOTrouge .

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. Anais french2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana18a.chaAnais 1;9.221,264332.37

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. bout3 · 100.0%