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/yamaguchi_22-3_01_13.cha change

Searching only french/yamaguchi_22-3_01_13.cha. Search all transcripts instead

3 matches in 3 utterances

2.91 per 1,000 words of the child (CHI), in 1 of 1 transcripts (472 utterances, 1,031 words searched).

Concordance Utterances Distribution Matched forms

veux ‹pas ,› yyy sors papa ! 1009330_1011129 CHI · french/yamaguchi_22-3_01_13.cha, line 1133 · Adrien 3;01
sors ! 1011430_1012238 CHI · french/yamaguchi_22-3_01_13.cha, line 1139 · Adrien 3;01
sors là-bas ! 1013739_1014950 CHI · french/yamaguchi_22-3_01_13.cha, line 1145 · Adrien 3;01

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;003;013;023;03

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/yamaguchi_22-3_01_13.cha	Adrien	3;1.13	1,031	3	3	2.91

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