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/yamaguchi_17-2_08_12.cha change

Searching only french/yamaguchi_17-2_08_12.cha. Search all transcripts instead

4 matches in 3 utterances

4.12 per 1,000 words of the child (CHI), in 1 of 1 transcripts (638 utterances, 970 words searched).

Concordance Utterances Distribution Matched forms

x@p donner dessus ? 1369953_1371555 CHI · french/yamaguchi_17-2_08_12.cha, line 2877 · Adrien 2;08
donner dessus ! 1372256_1373860 CHI · french/yamaguchi_17-2_08_12.cha, line 2887 · Adrien 2;08
x@p donner ça maman x@p donner ça ! 1612129_1617452 CHI · french/yamaguchi_17-2_08_12.cha, line 3332 · Adrien 2;08
x@p donner ça maman x@p donner ça ! 1612129_1617452 CHI · french/yamaguchi_17-2_08_12.cha, line 3332 · Adrien 2;08

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

per 1,000 words

012345

2;072;082;092;10

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/yamaguchi_17-2_08_12.cha	Adrien	2;8.12	970	3	4	4.12

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