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_nat39a.cha change

Searching only french/lyon_nat39a.cha. Search all transcripts instead

4 matches in 3 utterances

5.39 per 1,000 words of the child (CHI), in 1 of 1 transcripts (382 utterances, 742 words searched).

Concordance Utterances Distribution Matched forms

<on met tout hein> [/] ma(man) met tout hein . 486310_500462 CHI · french/lyon_nat39a.cha, line 739 · Nathan 2;09
<on met tout hein> [/] ma(man) met tout hein . 486310_500462 CHI · french/lyon_nat39a.cha, line 739 · Nathan 2;09
pourquoi met tout ? CHI · french/lyon_nat39a.cha, line 2523 · Nathan 2;09
pourquoi met tout maman ? 1608463_1611772 CHI · french/lyon_nat39a.cha, line 2527 · Nathan 2;09

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

per 1,000 words

0246

2;082;092;102;11

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_nat39a.cha	Nathan	2;9.7	742	3	4	5.39

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