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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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat42a.cha change

Searching only french/lyon_nat42a.cha. Search all transcripts instead

5 matches in 5 utterances

13.40 per 1,000 words of the child (CHI), in 1 of 1 transcripts (233 utterances, 373 words searched).

Concordance Utterances Distribution Matched forms

et comme Milou . 340447_342745 CHI · french/lyon_nat42a.cha, line 582 · Nathan 2;11
<et t(u) as pas le d(r)oit d(e) l'att(rap)er> [?] . CHI · french/lyon_nat42a.cha, line 618 · Nathan 2;11
<et 0t(u) en> [/] ‹www [= ! li]› <a trop fait (m)ain(ten)ant> [?] maman .… CHI · french/lyon_nat42a.cha, line 1671 · Nathan 2;11
et non . CHI · french/lyon_nat42a.cha, line 2027 · Nathan 2;11
et non . CHI · french/lyon_nat42a.cha, line 2591 · Nathan 2;11

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

per 1,000 words

051015

2;102;113;003;01

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_nat42a.cha	Nathan	2;11.14	373	5	5	13.40

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