PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

7.42 per 1,000 words of the child (CHI), in 1 of 1 transcripts (280 utterances, 539 words searched).

  1. ‹manger [/]› manger . CHI · french/lyon_tim20b.cha, line 961 · Tim 1;10
  2. ‹manger [/]› manger . CHI · french/lyon_tim20b.cha, line 961 · Tim 1;10
  3. manger . 873351_875346 CHI · french/lyon_tim20b.cha, line 1008 · Tim 1;10
  4. manger . 875346_877673 CHI · french/lyon_tim20b.cha, line 1013 · Tim 1;10
  1. CHIZoé . 848903_849711
    MOTi(ls) vont au restaurant .
    CHI*CHI: ‹manger [/]› manger .
    MOTpour manger bah oui .
    MOTau restaurant on y va pour manger . 849711_856553
  2. MOTest-c(e) que Tim il aime la pizza ? 867990_871993
    MOTtu aimes la pizza Tim ? 871993_873351
    CHI*CHI: manger . 873351_875346
    CHImanger . 875346_877673
    MOThein ? 877673_878670
  3. MOTtu aimes la pizza Tim ? 871993_873351
    CHImanger . 873351_875346
    CHI*CHI: manger . 875346_877673
    MOThein ? 877673_878670
    CHItout ça . 878670_880148

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Tim french7.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_tim20b.chaTim 1;10.4539347.42

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. manger4 · 100.0%