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/lyon_mar45a.cha change

Searching only french/lyon_mar45a.cha. Search all transcripts instead

4 matches in 3 utterances

6.81 per 1,000 words of the child (CHI), in 1 of 1 transcripts (197 utterances, 587 words searched).

Concordance Utterances Distribution Matched forms

… respiration mais 0i(l) faut vite que j'en remette parce que moi j(e) suis malade . 986507_995717 CHI · french/lyon_mar45a.cha, line 946 · Marie 3;11
mais pas pour la ‹voiture ,› j'suis pas forte . 1037020_1040185 CHI · french/lyon_mar45a.cha, line 1000 · Marie 3;11
parce que ‹yyy [/]› <yyy suis yyy> [//] 0je suis une ménagère . 1275290_1278973 CHI · french/lyon_mar45a.cha, line 1208 · Marie 3;11
parce que ‹yyy [/]› <yyy suis yyy> [//] 0je suis une ménagère . 1275290_1278973 CHI · french/lyon_mar45a.cha, line 1208 · Marie 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

02468

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/lyon_mar45a.cha	Marie	3;11.8	587	3	4	6.81

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