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/sarah025.cha change

Searching only eng_USA_Brown/sarah025.cha. Search all transcripts instead

4 matches in 4 utterances

4.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (237 utterances, 909 words searched).

Concordance Utterances Distribution Matched forms

oh # yes # you will # don't get this all wet now . MOT · eng_USA_Brown/sarah025.cha, line 399 · Sarah 2;08
he didn't bite you yet # but he will bite you # honey . MOT · eng_USA_Brown/sarah025.cha, line 475 · Sarah 2;08
he will # if you don't leave him alone . MOT · eng_USA_Brown/sarah025.cha, line 537 · Sarah 2;08
he sure will ! MOT · eng_USA_Brown/sarah025.cha, line 542 · Sarah 2;08

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;072;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/sarah025.cha	Sarah	2;8.25	909	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.