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: eng_USA_Brown/sarah121.cha change

Searching only eng_USA_Brown/sarah121.cha. Search all transcripts instead

3 matches in 3 utterances

3.12 per 1,000 words of the child (CHI), in 1 of 1 transcripts (261 utterances, 961 words searched).

Concordance Utterances Distribution Matched forms

ya got ta stick that there # (a)n(d) go like that (a)n(d) make little holes <an(d)> [/] # (a)n(d) mouth with <a crayon> [//] # a black crayon # (… CHI · eng_USA_Brown/sarah121.cha, line 1020 · Sarah 4;08
make little holes for the eyes (a)n(d) make a # a hole for the nose (a)n(d) . CHI · eng_USA_Brown/sarah121.cha, line 1025 · Sarah 4;08
see # (a)n(d) you have to go like that (a)n(d) put little holes in there . CHI · eng_USA_Brown/sarah121.cha, line 1038 · Sarah 4;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

01234

4;074;084;094;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
eng_USA_Brown/sarah121.cha	Sarah	4;8.13	961	3	3	3.12

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