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: french/lyon_nat33a.cha change

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

6 matches in 5 utterances

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

Concordance Utterances Distribution Matched forms

veux voir ! CHI · french/lyon_nat33a.cha, line 176 · Nathan 2;06
veux voir . 200367_204555 CHI · french/lyon_nat33a.cha, line 181 · Nathan 2;06
veux voir ! 272662_282170 CHI · french/lyon_nat33a.cha, line 275 · Nathan 2;06
<veux voir Nat> [/] veux voir Nat ! 304445_308527 CHI · french/lyon_nat33a.cha, line 324 · Nathan 2;06
<veux voir Nat> [/] veux voir Nat ! 304445_308527 CHI · french/lyon_nat33a.cha, line 324 · Nathan 2;06
veux voir Nat ! 311268_313775 CHI · french/lyon_nat33a.cha, line 332 · 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

0102030

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	5	6	24.10

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