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

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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/eve03.cha change

Searching only eng_USA_Brown/eve03.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 (367 utterances, 1,359 words searched).

Concordance Utterances Distribution Matched forms

Mommy have two to play with # too . MOT · eng_USA_Brown/eve03.cha, line 378 · Eve 1;07
oh # the spoon # too ? MOT · eng_USA_Brown/eve03.cha, line 1500 · Eve 1;07
you bring me the napkin # too . MOT · eng_USA_Brown/eve03.cha, line 1526 · Eve 1;07
and cheese you're gonna have too . MOT · eng_USA_Brown/eve03.cha, line 1846 · Eve 1;07
man's gonna have a carrot too . MOT · eng_USA_Brown/eve03.cha, line 2018 · Eve 1;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

01234

1;061;071;08

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/eve03.cha	Eve	1;7.	1,359	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.