PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah027.cha change

Searching only eng_USA_Brown/sarah027.cha. Search all transcripts instead

5 matches in 5 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

Concordance Utterances Distribution Matched forms

where's Mike ? MOT · eng_USA_Brown/sarah027.cha, line 284 · Sarah 2;09
where was Mike ? MOT · eng_USA_Brown/sarah027.cha, line 292 · Sarah 2;09
tell me again # where was Mike ? MOT · eng_USA_Brown/sarah027.cha, line 302 · Sarah 2;09
sitting # and what is Mike doing ? GLO · eng_USA_Brown/sarah027.cha, line 597 · Sarah 2;09
what's Mike doing # Sarah ? GLO · eng_USA_Brown/sarah027.cha, line 674 · Sarah 2;09

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;082;092;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/sarah027.cha	Sarah	2;9.	1,245	5	5	4.02

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