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/sarah062.cha change

Searching only eng_USA_Brown/sarah062.cha. Search all transcripts instead

5 matches in 4 utterances

5.64 per 1,000 words of the child (CHI), in 1 of 1 transcripts (374 utterances, 886 words searched).

Concordance Utterances Distribution Matched forms

d@l [/] # d@l # uh # r@l # I mean y@l . CHI · eng_USA_Brown/sarah062.cha, line 631 · Sarah 3;05
d@l # y@l # y@l +... [+ bch] CHI · eng_USA_Brown/sarah062.cha, line 655 · Sarah 3;05
d@l # y@l # y@l +... [+ bch] CHI · eng_USA_Brown/sarah062.cha, line 655 · Sarah 3;05
a Hump(t)y_Dump(t)y . CHI · eng_USA_Brown/sarah062.cha, line 2070 · Sarah 3;05
Hump(t)y_Dump(t)y hit his head # on the wall . CHI · eng_USA_Brown/sarah062.cha, line 2091 · Sarah 3;05

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

per 1,000 words

0246

3;043;053;063;07

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/sarah062.cha	Sarah	3;5.13	886	4	5	5.64

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