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/sarah021.cha change

Searching only eng_USA_Brown/sarah021.cha. Search all transcripts instead

6 matches in 6 utterances

4.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

Concordance Utterances Distribution Matched forms

Sarah # you gonna go buy a new hat today ? MOT · eng_USA_Brown/sarah021.cha, line 281 · Sarah 2;07
pretty new hat ? MOT · eng_USA_Brown/sarah021.cha, line 286 · Sarah 2;07
with his blue hat on ? FAT · eng_USA_Brown/sarah021.cha, line 936 · Sarah 2;07
no # leave the hat on . FAT · eng_USA_Brown/sarah021.cha, line 1229 · Sarah 2;07
isn't that a pretty hat ? FAT · eng_USA_Brown/sarah021.cha, line 1231 · Sarah 2;07
he's got a black hat # orange hair +/. FAT · eng_USA_Brown/sarah021.cha, line 1363 · Sarah 2;07

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

per 1,000 words

012345

2;062;072;082;09

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/sarah021.cha	Sarah	2;7.12	1,452	6	6	4.13

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