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/sarah022.cha change

Searching only eng_USA_Brown/sarah022.cha. Search all transcripts instead

7 matches in 7 utterances

10.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (201 utterances, 692 words searched).

Concordance Utterances Distribution Matched forms

what are you doing # Sarah ? GLO · eng_USA_Brown/sarah022.cha, line 44 · Sarah 2;07
what are you doing ? GLO · eng_USA_Brown/sarah022.cha, line 47 · Sarah 2;07
what are you doing # honey ? MOT · eng_USA_Brown/sarah022.cha, line 58 · Sarah 2;07
are you a good girl ? MOT · eng_USA_Brown/sarah022.cha, line 119 · Sarah 2;07
oh # yes # you are . MOT · eng_USA_Brown/sarah022.cha, line 262 · Sarah 2;07
whose girl are you ? MOT · eng_USA_Brown/sarah022.cha, line 275 · Sarah 2;07
you are ? MOT · eng_USA_Brown/sarah022.cha, line 299 · Sarah 2;07

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

per 1,000 words

03581013

2;062;072;082;09

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/sarah022.cha	Sarah	2;7.18	692	7	7	10.12

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