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/sarah011.cha change

Searching only eng_USA_Brown/sarah011.cha. Search all transcripts instead

5 matches in 5 utterances

5.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 845 words searched).

Concordance Utterances Distribution Matched forms

come on # let's put this in first . MOT · eng_USA_Brown/sarah011.cha, line 73 · Sarah 2;04
Michael # come here . MOT · eng_USA_Brown/sarah011.cha, line 235 · Sarah 2;04
Michael # come over here . MOT · eng_USA_Brown/sarah011.cha, line 245 · Sarah 2;04
Michael # come over here . MOT · eng_USA_Brown/sarah011.cha, line 247 · Sarah 2;04
Michael # come here . MOT · eng_USA_Brown/sarah011.cha, line 474 · Sarah 2;04

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;032;042;052;06

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/sarah011.cha	Sarah	2;4.26	845	5	5	5.92

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