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_nat38a.cha change

Searching only french/lyon_nat38a.cha. Search all transcripts instead

4 matches in 3 utterances

20.83 per 1,000 words of the child (CHI), in 1 of 1 transcripts (131 utterances, 192 words searched).

Concordance Utterances Distribution Matched forms

pa(r)c(e) que ‹j'ai [/]› j'ai pas envie d'aller yyy Bro . CHI · french/lyon_nat38a.cha, line 38 · Nathan 2;08
pa(r)c(e) que ‹j'ai [/]› j'ai pas envie d'aller yyy Bro . CHI · french/lyon_nat38a.cha, line 38 · Nathan 2;08
parce que moi j'ai aller à classe Bro . CHI · french/lyon_nat38a.cha, line 105 · Nathan 2;08
j'ai fini moi . CHI · french/lyon_nat38a.cha, line 1453 · Nathan 2;08

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

per 1,000 words

0510152025

2;072;082;092;10

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_nat38a.cha	Nathan	2;8.14	192	3	4	20.83

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