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/sarah024.cha change

Searching only eng_USA_Brown/sarah024.cha. Search all transcripts instead

5 matches in 5 utterances

5.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 882 words searched).

Concordance Utterances Distribution Matched forms

that a girl ! MOT · eng_USA_Brown/sarah024.cha, line 50 · Sarah 2;08
aah # good girl ! MOT · eng_USA_Brown/sarah024.cha, line 52 · Sarah 2;08
whose girl are you ? MOT · eng_USA_Brown/sarah024.cha, line 79 · Sarah 2;08
that a girl ! MOT · eng_USA_Brown/sarah024.cha, line 244 · Sarah 2;08
I thought you xxx big girl . MOT · eng_USA_Brown/sarah024.cha, line 742 · 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

0246

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/sarah024.cha	Sarah	2;8.02	882	5	5	5.67

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