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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Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah108.cha change

Searching only eng_USA_Brown/sarah108.cha. Search all transcripts instead

5 matches in 5 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 1,170 words searched).

Concordance Utterances Distribution Matched forms

yeah # but don't uh +... MOT · eng_USA_Brown/sarah108.cha, line 516 · Sarah 4;05
yeah # (a)n(d) you were fresh enough last night # I think . MOT · eng_USA_Brown/sarah108.cha, line 719 · Sarah 4;05
yeah # <where d(o) ya get> [//] # where d(o) ya have the chocolate ? MOT · eng_USA_Brown/sarah108.cha, line 770 · Sarah 4;05
yeah # she put it on my cubbies (a)n(d) +... MOT · eng_USA_Brown/sarah108.cha, line 1050 · Sarah 4;05
his hair is white # yeah . MOT · eng_USA_Brown/sarah108.cha, line 1243 · Sarah 4;05

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

per 1,000 words

012345

4;044;054;064;07

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/sarah108.cha	Sarah	4;5.08	1,170	5	5	4.27

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