PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat33a.cha change

Searching only french/lyon_nat33a.cha. Search all transcripts instead

4 matches in 2 utterances

16.06 per 1,000 words of the child (CHI), in 1 of 1 transcripts (162 utterances, 249 words searched).

Concordance Utterances Distribution Matched forms

yyy veux ‹tartine [/]› yyy veux tartine . CHI · french/lyon_nat33a.cha, line 511 · Nathan 2;06
yyy veux ‹tartine [/]› yyy veux tartine . CHI · french/lyon_nat33a.cha, line 511 · Nathan 2;06
une ‹tartine [/]› tartine ! 917607_923477 CHI · french/lyon_nat33a.cha, line 773 · Nathan 2;06
une ‹tartine [/]› tartine ! 917607_923477 CHI · french/lyon_nat33a.cha, line 773 · Nathan 2;06

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

per 1,000 words

05101520

2;052;062;072;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
french/lyon_nat33a.cha	Nathan	2;6.1	249	2	4	16.06

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