PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_mar39b.cha change

Searching only french/lyon_mar39b.cha. Search all transcripts instead

4 matches in 3 utterances

3.81 per 1,000 words of the child (CHI), in 1 of 1 transcripts (258 utterances, 1,051 words searched).

Concordance Utterances Distribution Matched forms

moi ‹j'ai [?]› ‹pt [//]› moi je veux aller ‹bien [//]› aussi bien que ‹ça ,› ‹là (...)› dans l'eau +//. 75857_87662 CHI · french/lyon_mar39b.cha, line 126 · Marie 3;02
moi ‹j'ai [?]› ‹pt [//]› moi je veux aller ‹bien [//]› aussi bien que ‹ça ,› ‹là (...)› dans l'eau +//. 75857_87662 CHI · french/lyon_mar39b.cha, line 126 · Marie 3;02
faut ‹qu(e) [//] (.)› faut bien qu(e) tu fasses attention . 206342_212778 CHI · french/lyon_mar39b.cha, line 272 · Marie 3;02
faut qu(e) tu le mette bien comme ‹ça [//] (.)› ‹tapé [?]› comme ça . 1455932_1463307 CHI · french/lyon_mar39b.cha, line 1656 · Marie 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/lyon_mar39b.cha	Marie	3;2.23	1,051	3	4	3.81

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