PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_mar17b.cha change

Searching only french/lyon_mar17b.cha. Search all transcripts instead

4 matches in 4 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,514 words searched).

Concordance Utterances Distribution Matched forms

ah ben si tu l(e) fais manger ce s(e)ra plus vite fait hein . MOT · french/lyon_mar17b.cha, line 362 · Marie 1;10
tu veux jouer à ce jeu ? 727673_729986 MOT · french/lyon_mar17b.cha, line 788 · Marie 1;10
pa(r)ce que là <on va> [/] on va préparer à manger bientôt . 1788596_1793473… MOT · french/lyon_mar17b.cha, line 2012 · Marie 1;10
euh ce s(e)ra pas du lait non . 1796115_1798505 MOT · french/lyon_mar17b.cha, line 2019 · Marie 1;10

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0123

1;091;101;112;00

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_mar17b.cha	Marie	1;10.23	1,514	4	4	2.64

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.