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/sarah103.cha change

Searching only eng_USA_Brown/sarah103.cha. Search all transcripts instead

5 matches in 5 utterances

3.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 1,357 words searched).

Concordance Utterances Distribution Matched forms

nurse [//] nursie Nellie . MOT · eng_USA_Brown/sarah103.cha, line 66 · Sarah 4;04
nursie Nellie . MOT · eng_USA_Brown/sarah103.cha, line 70 · Sarah 4;04
is it part of nursie Nellie ? MEL · eng_USA_Brown/sarah103.cha, line 1084 · Sarah 4;04
nursie Nellie ? MEL · eng_USA_Brown/sarah103.cha, line 1096 · Sarah 4;04
nursie Nellie . GAI · eng_USA_Brown/sarah103.cha, line 1133 · Sarah 4;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

01234

4;034;044;054;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/sarah103.cha	Sarah	4;4.01	1,357	5	5	3.68

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