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_mar30a.cha change

Searching only french/lyon_mar30a.cha. Search all transcripts instead

4 matches in 2 utterances

5.10 per 1,000 words of the child (CHI), in 1 of 1 transcripts (320 utterances, 785 words searched).

Concordance Utterances Distribution Matched forms

…s [/]› <mais yyy> [//] <mais t(e)> [//] mais ‹t(e) [?]› vais mélanger ton cacao et ton lait . CHI · french/lyon_mar30a.cha, line 287 · Marie 2;08
…yyy> [//] <mais t(e)> [//] mais ‹t(e) [?]› vais mélanger ton cacao et ton lait . CHI · french/lyon_mar30a.cha, line 287 · Marie 2;08
yyy coupe ton cacao et ton lait . CHI · french/lyon_mar30a.cha, line 354 · Marie 2;08
yyy coupe ton cacao et ton lait . CHI · french/lyon_mar30a.cha, line 354 · Marie 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

0246

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_mar30a.cha	Marie	2;8.14	785	2	4	5.10

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