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/sarah115.cha change

Searching only eng_USA_Brown/sarah115.cha. Search all transcripts instead

3 matches in 1 utterance

3.16 per 1,000 words of the child (CHI), in 1 of 1 transcripts (284 utterances, 950 words searched).

Concordance Utterances Distribution Matched forms

(be)cause <you got a awf(ul)> [//] <you got a black> [/] <you got a black> [/] you got a black skirt . CHI · eng_USA_Brown/sarah115.cha, line 97 · Sarah 4;06
(be)cause <you got a awf(ul)> [//] <you got a black> [/] <you got a black> [/] you got a black skirt . CHI · eng_USA_Brown/sarah115.cha, line 97 · Sarah 4;06
…a awf(ul)> [//] <you got a black> [/] <you got a black> [/] you got a black skirt . CHI · eng_USA_Brown/sarah115.cha, line 97 · Sarah 4;06

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;054;064;074;08

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/sarah115.cha	Sarah	4;6.24	950	1	3	3.16

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