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/mtln_vanessa45.cha change

Searching only french/mtln_vanessa45.cha. Search all transcripts instead

5 matches in 4 utterances

7.43 per 1,000 words of the child (CHI), in 1 of 1 transcripts (167 utterances, 673 words searched).

Concordance Utterances Distribution Matched forms

mais y a qu'un lit là . CHI · french/mtln_vanessa45.cha, line 73 · Vanessa 3;09
mais mais le bébé il a mangé son biberon . CHI · french/mtln_vanessa45.cha, line 156 · Vanessa 3;09
mais mais le bébé il a mangé son biberon . CHI · french/mtln_vanessa45.cha, line 156 · Vanessa 3;09
mais on n'est pas des petites ! CHI · french/mtln_vanessa45.cha, line 262 · Vanessa 3;09
mais moi je suis trop bas . CHI · french/mtln_vanessa45.cha, line 396 · Vanessa 3;09

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;083;093;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/mtln_vanessa45.cha	Vanessa	3;9.	673	4	5	7.43

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