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/eve16.cha change

Searching only eng_USA_Brown/eve16.cha. Search all transcripts instead

7 matches in 3 utterances

3.09 per 1,000 words of the child (CHI), in 1 of 1 transcripts (641 utterances, 2,265 words searched).

Concordance Utterances Distribution Matched forms

there your paper . CHI · eng_USA_Brown/eve16.cha, line 68 · Eve 2;01
oh # <my paper # my paper my paper> [/] # my paper . CHI · eng_USA_Brown/eve16.cha, line 4389 · Eve 2;01
oh # <my paper # my paper my paper> [/] # my paper . CHI · eng_USA_Brown/eve16.cha, line 4389 · Eve 2;01
oh # <my paper # my paper my paper> [/] # my paper . CHI · eng_USA_Brown/eve16.cha, line 4389 · Eve 2;01
oh # <my paper # my paper my paper> [/] # my paper . CHI · eng_USA_Brown/eve16.cha, line 4389 · Eve 2;01
<my paper> [/] # my paper . CHI · eng_USA_Brown/eve16.cha, line 4392 · Eve 2;01
<my paper> [/] # my paper . CHI · eng_USA_Brown/eve16.cha, line 4392 · Eve 2;01

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

per 1,000 words

01234

2;002;012;02

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/eve16.cha	Eve	2;1.	2,265	3	7	3.09

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