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: french/lyon_nat10a.cha change

Searching only french/lyon_nat10a.cha. Search all transcripts instead

5 matches in 4 utterances

90.91 per 1,000 words of the child (CHI), in 1 of 1 transcripts (231 utterances, 55 words searched).

Concordance Utterances Distribution Matched forms

‹non [?]› . 198703_200432 CHI · french/lyon_nat10a.cha, line 177 · Nathan 1;05
‹non [/]› ‹non [?]› . 201253_202192 CHI · french/lyon_nat10a.cha, line 184 · Nathan 1;05
‹non [/]› ‹non [?]› . 201253_202192 CHI · french/lyon_nat10a.cha, line 184 · Nathan 1;05
‹non [= ! en pleurant]› . 402692_404995 CHI · french/lyon_nat10a.cha, line 446 · Nathan 1;05
‹non [= ! en criant]› . 404995_406943 CHI · french/lyon_nat10a.cha, line 452 · Nathan 1;05

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

per 1,000 words

020406080100

1;041;051;061;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
french/lyon_nat10a.cha	Nathan	1;5.8	55	4	5	90.91

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