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/sarah083.cha change

Searching only eng_USA_Brown/sarah083.cha. Search all transcripts instead

4 matches in 4 utterances

4.40 per 1,000 words of the child (CHI), in 1 of 1 transcripts (312 utterances, 910 words searched).

Concordance Utterances Distribution Matched forms

Old_Mac_Donald had a farm ee_yay_ee_yay_oh . [+ bch] CHI · eng_USA_Brown/sarah083.cha, line 169 · Sarah 3;10
Old_Mac_Donald had a farm # ee_yay_ee_yay_oh +... [+ bch] CHI · eng_USA_Brown/sarah083.cha, line 176 · Sarah 3;10
Old_Mac_Donald had a farm # e@l i@l e@l i@l o@l ! [+ bch] CHI · eng_USA_Brown/sarah083.cha, line 242 · Sarah 3;10
Old_Mac_Donald had a chick # e@l i@l e@l i@l o@l # o@l . [+ bch] CHI · eng_USA_Brown/sarah083.cha, line 309 · Sarah 3;10

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

per 1,000 words

012345

3;093;103;114;00

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/sarah083.cha	Sarah	3;10.30	910	4	4	4.40

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