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

4 matches in 4 utterances

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

Concordance Utterances Distribution Matched forms

<tell her> [//] oh # we got your new shoes yesterday but they were too small . MOT · eng_USA_Brown/sarah027.cha, line 530 · Sarah 2;09
yeah # that's your powder puff # but what's this ? MOT · eng_USA_Brown/sarah027.cha, line 986 · Sarah 2;09
but <you tell> [/] <you tell> [//] tell Gloria what happened to your head… MOT · eng_USA_Brown/sarah027.cha, line 1122 · Sarah 2;09
yeah # but where ? MOT · eng_USA_Brown/sarah027.cha, line 1130 · 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

01234

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	4	4	3.21

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