PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.72 per 1,000 words of the child (CHI), in 1 of 1 transcripts (302 utterances, 636 words searched).

  1. yyy je <veux donner> [>] [?] . CHI · french/lyon_mar22a.cha, line 1601 · Marie 2;01
  2. je veux ‹donner [?]› . 1169550_1171751 CHI · french/lyon_mar22a.cha, line 1622 · Marie 2;01
  3. je veux ‹donner [?]› . CHI · french/lyon_mar22a.cha, line 1626 · Marie 2;01
  1. MOTbah dis_don(c) , elle a décidé d(e) faire mal à tous ses doudous aujourd'hui , Mar .
    CHImh . 1154748_1159588
    CHI*CHI: yyy je <veux donner> [>] [?] .
    MOT<hein tu veux> [<] faire mal ? 1159588_1162035
    CHImh . 1162035_1163235
  2. CHIyyy médicaments . 1167236_1168628
    MOTah bon ? 1168628_1169550
    CHI*CHI: je veux ‹donner [?]› . 1169550_1171751
    CHIje veux ‹donner [?]› .
    CHIyyy . 1180995_1187591
  3. MOTah bon ? 1168628_1169550
    CHIje veux ‹donner [?]› . 1169550_1171751
    CHI*CHI: je veux ‹donner [?]› .
    CHIyyy . 1180995_1187591
    CHI‹oui ,› Mar yyy ‹chaussures [?]› .

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 french4.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
french/lyon_mar22a.chaMarie 2;1.13636334.72

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. donner3 · 100.0%