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/sarah029.cha change

Searching only eng_USA_Brown/sarah029.cha. Search all transcripts instead

5 matches in 5 utterances

3.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

Concordance Utterances Distribution Matched forms

how many rakes you got ? FAT · eng_USA_Brown/sarah029.cha, line 706 · Sarah 2;09
how many carriages have you got ? FAT · eng_USA_Brown/sarah029.cha, line 1326 · Sarah 2;09
how many ponies have you got ? FAT · eng_USA_Brown/sarah029.cha, line 1336 · Sarah 2;09
and how many bikes you got ? FAT · eng_USA_Brown/sarah029.cha, line 1342 · Sarah 2;09
and how many babies have you got ? FAT · eng_USA_Brown/sarah029.cha, line 1353 · 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;102;11

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/sarah029.cha	Sarah	2;9.14	1,497	5	5	3.34

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