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/sarah090.cha change

Searching only eng_USA_Brown/sarah090.cha. Search all transcripts instead

5 matches in 5 utterances

3.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,296 words searched).

Concordance Utterances Distribution Matched forms

Bumble_Bee . FAT · eng_USA_Brown/sarah090.cha, line 1041 · Sarah 4;01
Bumble_Bee . MOT · eng_USA_Brown/sarah090.cha, line 1043 · Sarah 4;01
you see the Bumble_Bee . MOT · eng_USA_Brown/sarah090.cha, line 1045 · Sarah 4;01
you see the Bumble_Bee . FAT · eng_USA_Brown/sarah090.cha, line 1049 · Sarah 4;01
right there # he's a Bumble_Bee . FAT · eng_USA_Brown/sarah090.cha, line 1051 · Sarah 4;01

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

4;004;014;024;03

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/sarah090.cha	Sarah	4;1.04	1,296	5	5	3.86

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