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_nat37b.cha change

Searching only french/lyon_nat37b.cha. Search all transcripts instead

4 matches in 2 utterances

32.26 per 1,000 words of the child (CHI), in 1 of 1 transcripts (93 utterances, 124 words searched).

Concordance Utterances Distribution Matched forms

est-ce que on va yyy manger dehors ? 787432_791385 CHI · french/lyon_nat37b.cha, line 451 · Nathan 2;07
on peut xxx on peut ‹manger [/]› ‹manger [//]› peut manger dehors ? 805068_811182 CHI · french/lyon_nat37b.cha, line 472 · Nathan 2;07
on peut xxx on peut ‹manger [/]› ‹manger [//]› peut manger dehors ? 805068_811182 CHI · french/lyon_nat37b.cha, line 472 · Nathan 2;07
on peut xxx on peut ‹manger [/]› ‹manger [//]› peut manger dehors ? 805068_811182 CHI · french/lyon_nat37b.cha, line 472 · Nathan 2;07

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

per 1,000 words

010203040

2;062;072;082;09

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_nat37b.cha	Nathan	2;7.25	124	2	4	32.26

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