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/sarah074.cha change

Searching only eng_USA_Brown/sarah074.cha. Search all transcripts instead

5 matches in 4 utterances

6.69 per 1,000 words of the child (CHI), in 1 of 1 transcripts (233 utterances, 747 words searched).

Concordance Utterances Distribution Matched forms

turn the light on . CHI · eng_USA_Brown/sarah074.cha, line 422 · Sarah 3;08
<knock #> [//] rock on de yyy . CHI · eng_USA_Brown/sarah074.cha, line 555 · Sarah 3;08
next morning # Peter_Rabbit # went # into the [/] # the apples on [/] # on [//] # (a)n(d) he started with it one night . CHI · eng_USA_Brown/sarah074.cha, line 701 · Sarah 3;08
…xt morning # Peter_Rabbit # went # into the [/] # the apples on [/] # on [//] # (a)n(d) he started with it one night . CHI · eng_USA_Brown/sarah074.cha, line 701 · Sarah 3;08
<put my foot on> [?] . CHI · eng_USA_Brown/sarah074.cha, line 1473 · Sarah 3;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

02468

3;073;083;093;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/sarah074.cha	Sarah	3;8.20	747	4	5	6.69

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