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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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_mar35a.cha change

Searching only french/lyon_mar35a.cha. Search all transcripts instead

3 matches in 3 utterances

4.93 per 1,000 words of the child (CHI), in 1 of 1 transcripts (210 utterances, 608 words searched).

Concordance Utterances Distribution Matched forms

aller tu lis . 341292_355407 CHI · french/lyon_mar35a.cha, line 450 · Marie 2;11
aller <tu me> [//] tu ‹lis (.)› Monsieur Glouton . 1165942_1169668 CHI · french/lyon_mar35a.cha, line 1405 · Marie 2;11
on va mettre les bottes <et on va aller> [//] et <on va> [/] on va +//. CHI · french/lyon_mar35a.cha, line 1807 · Marie 2;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

0246

2;102;113;003;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_mar35a.cha	Marie	2;11.14	608	3	3	4.93

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