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/yamaguchi_30-3_11_13.cha change

Searching only french/yamaguchi_30-3_11_13.cha. Search all transcripts instead

4 matches in 4 utterances

1.96 per 1,000 words of the child (CHI), in 1 of 1 transcripts (506 utterances, 2,037 words searched).

Concordance Utterances Distribution Matched forms

on va emmener ça ! 585037_586438 CHI · french/yamaguchi_30-3_11_13.cha, line 799 · Adrien 3;11
on va emmener ça . 587248_589352 CHI · french/yamaguchi_30-3_11_13.cha, line 805 · Adrien 3;11
on va emmener ça ! 589356_590960 CHI · french/yamaguchi_30-3_11_13.cha, line 811 · Adrien 3;11
va emmener ça euh à côté de la valise ! 590961_595778 CHI · french/yamaguchi_30-3_11_13.cha, line 815 · Adrien 3;11

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

per 1,000 words

0.00.51.01.52.02.5

3;103;114;004;01

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/yamaguchi_30-3_11_13.cha	Adrien	3;11.13	2,037	4	4	1.96

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