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/sarah021.cha change

Searching only eng_USA_Brown/sarah021.cha. Search all transcripts instead

4 matches in 4 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

Concordance Utterances Distribution Matched forms

Sarah # you gonna go buy a new hat today ? MOT · eng_USA_Brown/sarah021.cha, line 281 · Sarah 2;07
pretty new hat ? MOT · eng_USA_Brown/sarah021.cha, line 286 · Sarah 2;07
you gonna get new shoes for Easter . FAT · eng_USA_Brown/sarah021.cha, line 1355 · Sarah 2;07
that's a new one . MOT · eng_USA_Brown/sarah021.cha, line 1557 · 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

0123

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/sarah021.cha	Sarah	2;7.12	1,452	4	4	2.75

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