PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (339 utterances, 953 words searched).

  1. tu l(e) mets en marche ? 14237_21227 MOT · french/lyon_ana19b.cha, line 28 · Anais 3;10
  2. encore une marche . MOT · french/lyon_ana19b.cha, line 140 · Anais 3;10
  3. +< marche . MOT · french/lyon_ana19b.cha, line 173 · Anais 3;10
  4. en marche . 106668_108555 MOT · french/lyon_ana19b.cha, line 183 · Anais 3;10
  1. MOTvoilà . 10767_12858
    CHIyyy . 12658_14237
    MOT*MOT: tu l(e) mets en marche ? 14237_21227
    CHIyyy . 21227_23623
    CHIyyy .
  2. MOTlà ?
    CHIyyy .
    MOT*MOT: encore une marche .
    MOTvoi:là . 86345_89378
    CHIyyy . 89378_94055
  3. CHIça y est . 98873_101968
    CHIyyy .
    MOT*MOT: +< marche .
    MOTéteint .
    CHI‹non [/]› non .
  4. CHI‹non [/]› non .
    MOTnon . 101968_106668
    MOT*MOT: en marche . 106668_108555
    CHIyyy non . 108555_111008
    CHInon .

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 french4.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_ana19b.chaAnais 3;10.23953444.20

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. marche4 · 100.0%