PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.52 per 1,000 words of the child (CHI), in 1 of 1 transcripts (175 utterances, 793 words searched).

  1. et comment on va faire pour ‹enl(e)ver (.)› après ? 1640795_1647695 CHI · french/lyon_mar40b.cha, line 1599 · Marie 3;05
  2. et après on ‹www [= ! li]› en ‹remettra ,› ‹hein [?]› ? 1655498_1666323 CHI · french/lyon_mar40b.cha, line 1618 · Marie 3;05
  1. CHI‹mais (.)› si on mettrait du scotch dessus .
    MOT+< ah (.) si on mettait du scotch dessus ç(a) [//] (.) là oui ce s(e)rait possible , oui .
    CHI*CHI: et comment on va faire pour ‹enl(e)ver (.)› après ? 1640795_1647695
    MOTpour enlever +/. 1647695_1652860
    CHI<pour en(lever)> [?] [//] (.) on ‹fe(ra) [/] (.)› on +...
  2. CHImm . 1652860_1655498
    MOTben on l(e) déchir(e)ra .
    CHI*CHI: et après on ‹www [= ! li]› en ‹remettra ,› ‹hein [?]› ? 1655498_1666323
    MOTon l(e) décollera .
    MOTet <on ra> [//] (on) www [= ! li] en remettra un nouveau , oui (.) à chaque fois .

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. Marie french2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar40b.chaMarie 3;5.21793222.52

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. après2 · 100.0%