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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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah122.cha change

Searching only eng_USA_Brown/sarah122.cha. Search all transcripts instead

4 matches in 4 utterances

3.93 per 1,000 words of the child (CHI), in 1 of 1 transcripts (241 utterances, 1,017 words searched).

Concordance Utterances Distribution Matched forms

(a)n(d) when I got out (a)n(d) looked at it # then it was wet (a)n(d) I feeled@n it . CHI · eng_USA_Brown/sarah122.cha, line 182 · Sarah 4;08
oh # I was asking him . CHI · eng_USA_Brown/sarah122.cha, line 813 · Sarah 4;08
<I was talk> [//] I wasn't talking to you . CHI · eng_USA_Brown/sarah122.cha, line 1061 · Sarah 4;08
that was you . CHI · eng_USA_Brown/sarah122.cha, line 1217 · 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

012345

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/sarah122.cha	Sarah	4;8.20	1,017	4	4	3.93

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