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_nat30a.cha change

Searching only french/lyon_nat30a.cha. Search all transcripts instead

5 matches in 3 utterances

24.75 per 1,000 words of the child (CHI), in 1 of 1 transcripts (153 utterances, 202 words searched).

Concordance Utterances Distribution Matched forms

+< 0il est où papa ‹et [/]› ‹et [/]› et yyy . 696557_702710 CHI · french/lyon_nat30a.cha, line 930 · Nathan 2;04
+< 0il est où papa ‹et [/]› ‹et [/]› et yyy . 696557_702710 CHI · french/lyon_nat30a.cha, line 930 · Nathan 2;04
+< 0il est où papa ‹et [/]› ‹et [/]› et yyy . 696557_702710 CHI · french/lyon_nat30a.cha, line 930 · Nathan 2;04
et oh ! 733375_738580 CHI · french/lyon_nat30a.cha, line 979 · Nathan 2;04
et jaune . 903548_905048 CHI · french/lyon_nat30a.cha, line 1192 · Nathan 2;04

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

per 1,000 words

0102030

2;032;042;052;06

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_nat30a.cha	Nathan	2;4.12	202	3	5	24.75

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