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/sarah030.cha change

Searching only eng_USA_Brown/sarah030.cha. Search all transcripts instead

7 matches in 5 utterances

6.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (585 utterances, 1,113 words searched).

Concordance Utterances Distribution Matched forms

I got Tony pony . CHI · eng_USA_Brown/sarah030.cha, line 1329 · Sarah 2;09
Tony pony . CHI · eng_USA_Brown/sarah030.cha, line 1334 · Sarah 2;09
you on Tony [/] Tony . CHI · eng_USA_Brown/sarah030.cha, line 1503 · Sarah 2;09
you on Tony [/] Tony . CHI · eng_USA_Brown/sarah030.cha, line 1503 · Sarah 2;09
Tony [/] Tony . CHI · eng_USA_Brown/sarah030.cha, line 1509 · Sarah 2;09
Tony [/] Tony . CHI · eng_USA_Brown/sarah030.cha, line 1509 · Sarah 2;09
he want a pony Tony # pony yyy . CHI · eng_USA_Brown/sarah030.cha, line 2098 · Sarah 2;09

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

per 1,000 words

02468

2;082;092;102;11

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/sarah030.cha	Sarah	2;9.20	1,113	5	7	6.29

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