PHPCLANCHILDES with regular expressions

Regular expression

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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/sarah131.cha change

Searching only eng_USA_Brown/sarah131.cha. Search all transcripts instead

5 matches in 3 utterances

5.27 per 1,000 words of the child (CHI), in 1 of 1 transcripts (231 utterances, 949 words searched).

Concordance Utterances Distribution Matched forms

make a line # then make a cross # then go like that ? CHI · eng_USA_Brown/sarah131.cha, line 397 · Sarah 4;11
make a line # then make a cross # then go like that ? CHI · eng_USA_Brown/sarah131.cha, line 397 · Sarah 4;11
(be)cause I was first starting on that one # then I was goin(g) on that one # then I was goin(g) on that one . CHI · eng_USA_Brown/sarah131.cha, line 483 · Sarah 4;11
…e I was first starting on that one # then I was goin(g) on that one # then I was goin(g) on that one . CHI · eng_USA_Brown/sarah131.cha, line 483 · Sarah 4;11
then go like . CHI · eng_USA_Brown/sarah131.cha, line 967 · Sarah 4;11

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

0246

4;104;115;005;01

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/sarah131.cha	Sarah	4;11.13	949	3	5	5.27

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