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/yamaguchi_23-3_02_12.cha change

Searching only french/yamaguchi_23-3_02_12.cha. Search all transcripts instead

4 matches in 4 utterances

2.93 per 1,000 words of the child (CHI), in 1 of 1 transcripts (534 utterances, 1,367 words searched).

Concordance Utterances Distribution Matched forms

ça sent bon ! 2271371_2273370 CHI · french/yamaguchi_23-3_02_12.cha, line 2869 · Adrien 3;02
yyy ça sent bon yyy ça ! 2297596_2302587 CHI · french/yamaguchi_23-3_02_12.cha, line 2912 · Adrien 3;02
hé ça sent bon ça ! 2302588_2304595 CHI · french/yamaguchi_23-3_02_12.cha, line 2916 · Adrien 3;02
si ça sent bon ! 2305770_2307307 CHI · french/yamaguchi_23-3_02_12.cha, line 2923 · Adrien 3;02

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

per 1,000 words

01234

3;013;023;033;04

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_23-3_02_12.cha	Adrien	3;2.12	1,367	4	4	2.93

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