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/adam35.cha change

Searching only eng_USA_Brown/adam35.cha. Search all transcripts instead

5 matches in 5 utterances

1.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 2,572 words searched).

Concordance Utterances Distribution Matched forms

are they different from any other tigers ? MOT · eng_USA_Brown/adam35.cha, line 480 · Adam 3;08
how are they different ? MOT · eng_USA_Brown/adam35.cha, line 486 · Adam 3;08
oh # they're different than those we have here in Boston ? MOT · eng_USA_Brown/adam35.cha, line 493 · Adam 3;08
they different them ? MOT · eng_USA_Brown/adam35.cha, line 499 · Adam 3;08
I think that's a different train . MOT · eng_USA_Brown/adam35.cha, line 731 · Adam 3;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

0.00.51.01.52.02.5

3;073;083;093;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/adam35.cha	Adam	3;8.01	2,572	5	5	1.94

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