PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

More conditions (like a second grep)

The utterance must also match

…and must not match

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: french/yamaguchi_32-4_01_12.cha change

Searching only french/yamaguchi_32-4_01_12.cha. Search all transcripts instead

3 matches in 1 utterance

2.36 per 1,000 words of the child (CHI), in 1 of 1 transcripts (408 utterances, 1,269 words searched).

Concordance Utterances Distribution Matched forms

… vais ‹&de [/-]› demain je vais aller demain je vais amener une craie na na na nère@wp ! 1459323_1466045 CHI · french/yamaguchi_32-4_01_12.cha, line 1764 · Adrien 4;01
…is ‹&de [/-]› demain je vais aller demain je vais amener une craie na na na nère@wp ! 1459323_1466045 CHI · french/yamaguchi_32-4_01_12.cha, line 1764 · Adrien 4;01
…‹&de [/-]› demain je vais aller demain je vais amener une craie na na na nère@wp ! 1459323_1466045 CHI · french/yamaguchi_32-4_01_12.cha, line 1764 · Adrien 4;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

0.00.51.01.52.02.5

4;004;014;024;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_32-4_01_12.cha	Adrien	4;1.12	1,269	1	3	2.36

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