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/sarah026.cha change

Searching only eng_USA_Brown/sarah026.cha. Search all transcripts instead

5 matches in 5 utterances

6.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (205 utterances, 827 words searched).

Concordance Utterances Distribution Matched forms

that's a good girl . COU · eng_USA_Brown/sarah026.cha, line 96 · Sarah 2;08
whose girl are you ? MOT · eng_USA_Brown/sarah026.cha, line 533 · Sarah 2;08
<how a> [//] are you Nana's girl ? MOT · eng_USA_Brown/sarah026.cha, line 563 · Sarah 2;08
oh # you think you're Nana's girl today # huh . MOT · eng_USA_Brown/sarah026.cha, line 567 · Sarah 2;08
you Mummy's girl ? MOT · eng_USA_Brown/sarah026.cha, line 574 · 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

02468

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/sarah026.cha	Sarah	2;8.25	827	5	5	6.05

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