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/sarah095.cha change

Searching only eng_USA_Brown/sarah095.cha. Search all transcripts instead

5 matches in 5 utterances

3.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 1,562 words searched).

Concordance Utterances Distribution Matched forms

tell em what his name is . MOT · eng_USA_Brown/sarah095.cha, line 63 · Sarah 4;02
my [/] # my uncle had his cut twice . MOT · eng_USA_Brown/sarah095.cha, line 1303 · Sarah 4;02
he didn't move his legs ? MOT · eng_USA_Brown/sarah095.cha, line 1357 · Sarah 4;02
he moved his arms ? MOT · eng_USA_Brown/sarah095.cha, line 1364 · Sarah 4;02
not his legs ? MOT · eng_USA_Brown/sarah095.cha, line 1368 · Sarah 4;02

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

per 1,000 words

01234

4;014;024;034;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/sarah095.cha	Sarah	4;2.09	1,562	5	5	3.20

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