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_mar40a.cha change

Searching only french/lyon_mar40a.cha. Search all transcripts instead

5 matches in 3 utterances

6.13 per 1,000 words of the child (CHI), in 1 of 1 transcripts (208 utterances, 816 words searched).

Concordance Utterances Distribution Matched forms

‹pour [/]› <pour ce> [/] pour ce oiseau: . CHI · french/lyon_mar40a.cha, line 366 · Marie 3;05
‹pour [/]› <pour ce> [/] pour ce oiseau: . CHI · french/lyon_mar40a.cha, line 366 · Marie 3;05
‹pour [/]› <pour ce> [/] pour ce oiseau: . CHI · french/lyon_mar40a.cha, line 366 · Marie 3;05
<pour mon:> [?] [//] mes ‹www [= ! li]› oreilles ? CHI · french/lyon_mar40a.cha, line 444 · Marie 3;05
comment elle fait pour met(tre) ‹sa [/]› sa poupée et son doudou ? CHI · french/lyon_mar40a.cha, line 1043 · Marie 3;05

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;043;053;063;07

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_mar40a.cha	Marie	3;5.21	816	3	5	6.13

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