PHPCLANCHILDES with regular expressions

3 matches in 2 utterances

3.93 per 1,000 words of the child (CHI), in 1 of 1 transcripts (314 utterances, 763 words searched).

  1. non „ 0ne mets pas bouchon ! 1826852_1828704 CHI · french/york_para014.cha, line 1837 · Anne 2;05
  2. eh 0ne mets pas [/] mets pas bouchon ! 1836578_1838810 CHI · french/york_para014.cha, line 1854 · Anne 2;05
  3. eh 0ne mets pas [/] mets pas bouchon ! 1836578_1838810 CHI · french/york_para014.cha, line 1854 · Anne 2;05
  1. french/york_para014.cha, line 1837 · Anne, 2;5.04
    CHInon . 1823104_1824115
    MOTbon alors on va remettre le bouchon et on va ranger . 1824115_1826852
    CHI*CHI: non „ 0ne mets pas bouchon ! 1826852_1828704
    MOTben qu'est [///] comment tu fais alors ? 1828704_1830347
    CHI(j)e 0ne veux mettre pas bouchon . 1830347_1832368
  2. french/york_para014.cha, line 1854 · Anne, 2;5.04
    CHI(j)e 0ne veux mettre pas bouchon . 1834347_1835778
    MOTeh arrête , Anne xxx ! 1835778_1836578
    CHI*CHI: eh 0ne mets pas [/] mets pas bouchon ! 1836578_1838810
    MOTmais comment tu vas faire pour le ranger ? 1838810_1841463
    MOTmm ? 1841463_1844630

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. Anne french3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/york_para014.chaAnne 2;5.04763233.93

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. mets3 · 100.0%