PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (401 utterances, 1,520 words searched).

  1. hoplà . 977415_978018 MOT · french/lyon_mar16b.cha, line 1299 · Marie 1;10
  2. hoplà . 1712090_1713050 MOT · french/lyon_mar16b.cha, line 2496 · Marie 1;10
  3. hoplà . 1837021_1837860 MOT · french/lyon_mar16b.cha, line 2677 · Marie 1;10
  1. MOToh .
    MOTil est déchire . 972290_973796
    MOT*MOT: hoplà . 977415_978018
    CHIà maman . 978015_979016
    MOTc'est à maman ? 979016_979938
  2. MOTc'est la même . 1707650_1708651
    CHI‹(.) en› ‹www [= ! li]› à d'autres . 1708651_1712090
    MOT*MOT: hoplà . 1712090_1713050
    CHId'autres . 1713050_1714011
    MOTy en a pas d'autres . 1714011_1715976
  3. MOThop . 1834993_1837021
    MOTj(e) mets l(e) bonnet à Mar .
    MOT*MOT: hoplà . 1837021_1837860
    CHI‹(.) manteau› Mar . 1837860_1841108
    MOTle manteau d(e) Mar ? 1841105_1842431

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 french1.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar16b.chaMarie 1;10.111,520331.97

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. hoplà3 · 100.0%