PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat19b.cha change

Searching only french/lyon_nat19b.cha. Search all transcripts instead

6 matches in 4 utterances

136.36 per 1,000 words of the child (CHI), in 1 of 1 transcripts (107 utterances, 44 words searched).

Concordance Utterances Distribution Matched forms

caca ? 1357272_1358940 CHI · french/lyon_nat19b.cha, line 1311 · Nathan 1;10
yyy ‹caca [/]› caca . 1752550_1761962 CHI · french/lyon_nat19b.cha, line 1596 · Nathan 1;10
yyy ‹caca [/]› caca . 1752550_1761962 CHI · french/lyon_nat19b.cha, line 1596 · Nathan 1;10
yyy ‹caca [/]› caca . 1765952_1770818 CHI · french/lyon_nat19b.cha, line 1607 · Nathan 1;10
yyy ‹caca [/]› caca . 1765952_1770818 CHI · french/lyon_nat19b.cha, line 1607 · Nathan 1;10
caca . 1770818_1859680 CHI · french/lyon_nat19b.cha, line 1611 · Nathan 1;10

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

per 1,000 words

050100150

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_nat19b.cha	Nathan	1;10.19	44	4	6	136.36

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