PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/adam24.cha change

Searching only eng_USA_Brown/adam24.cha. Search all transcripts instead

8 matches in 8 utterances

2.95 per 1,000 words of the child (CHI), in 1 of 1 transcripts (843 utterances, 2,714 words searched).

Concordance Utterances Distribution Matched forms

let's have something # to read . CHI · eng_USA_Brown/adam24.cha, line 54 · Adam 3;02
le(t) me have +... CHI · eng_USA_Brown/adam24.cha, line 152 · Adam 3;02
I have some cheek . CHI · eng_USA_Brown/adam24.cha, line 245 · Adam 3;02
we have some tomorrow . CHI · eng_USA_Brown/adam24.cha, line 379 · Adam 3;02
no # I don't have a doll +... CHI · eng_USA_Brown/adam24.cha, line 426 · Adam 3;02
I have a # baby . CHI · eng_USA_Brown/adam24.cha, line 429 · Adam 3;02
have it . CHI · eng_USA_Brown/adam24.cha, line 2445 · Adam 3;02
I goin(g) have some too # crackers . CHI · eng_USA_Brown/adam24.cha, line 2835 · Adam 3;02

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

3;013;023;033;04

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/adam24.cha	Adam	3;2.09	2,714	8	8	2.95

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