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

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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

is +... MOT · eng_USA_Brown/sarah024.cha, line 45 · Sarah 2;08
what kind of tonic is that ? MOT · eng_USA_Brown/sarah024.cha, line 227 · Sarah 2;08
oh # what is that ? GLO · eng_USA_Brown/sarah024.cha, line 339 · Sarah 2;08
her name is what ? MOT · eng_USA_Brown/sarah024.cha, line 895 · Sarah 2;08
that's Chatty_Baby # this is Chatty_Baby_Brother . MOT · eng_USA_Brown/sarah024.cha, line 902 · 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.