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/sarah125.cha change

Searching only eng_USA_Brown/sarah125.cha. Search all transcripts instead

5 matches in 5 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 1,848 words searched).

Concordance Utterances Distribution Matched forms

hey Sarah # why don't you tell us too . MOT · eng_USA_Brown/sarah125.cha, line 51 · Sarah 4;09
you're gettin(g) too fresh . MOT · eng_USA_Brown/sarah125.cha, line 733 · Sarah 4;09
you're gettin(g) too # fightin(g) . MOT · eng_USA_Brown/sarah125.cha, line 735 · Sarah 4;09
you've got new sneakers on too # Sarah . MOT · eng_USA_Brown/sarah125.cha, line 770 · Sarah 4;09
it's too early for an all white dress # huh ? MOT · eng_USA_Brown/sarah125.cha, line 1026 · Sarah 4;09

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

4;084;094;104;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/sarah125.cha	Sarah	4;9.19	1,848	5	5	2.71

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