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/sarah050.cha change

Searching only eng_USA_Brown/sarah050.cha. Search all transcripts instead

6 matches in 6 utterances

4.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,250 words searched).

Concordance Utterances Distribution Matched forms

hey # whose girl are you ? MOT · eng_USA_Brown/sarah050.cha, line 102 · Sarah 3;02
whose girl are you ? MOT · eng_USA_Brown/sarah050.cha, line 130 · Sarah 3;02
whose girl are you ? MOT · eng_USA_Brown/sarah050.cha, line 136 · Sarah 3;02
whose girl are you ? MOT · eng_USA_Brown/sarah050.cha, line 142 · Sarah 3;02
whose girl are you ? MOT · eng_USA_Brown/sarah050.cha, line 144 · Sarah 3;02
whose girl are you ? MOT · eng_USA_Brown/sarah050.cha, line 155 · Sarah 3;02

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

per 1,000 words

0246

3;013;023;033;04

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/sarah050.cha	Sarah	3;2.23	1,250	6	6	4.80

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