Use namedPattern to assign a pattern to a named pattern.

Build a pattern that matches simple arithmetic expressions composed of numbers and arithmetic operators.

mathSymbols = asManyOfPattern(digitsPattern | characterListPattern("+-*/="),1)

mathSymbols = pattern
  Matching:

    asManyOfPattern(digitsPattern | characterListPattern("+-*/="),1)

Build a pattern that matches arithmetic expressions with whitespaces between characters using the named pattern.

longExpressionPat = asManyOfPattern(mathSymbols + whitespacePattern) + mathSymbols

longExpressionPat = pattern
  Matching:

    asManyOfPattern(asManyOfPattern(digitsPattern | characterListPattern("+-*/="),1) + whitespacePattern) + asManyOfPattern(digitsPattern | characterListPattern("+-*/="),1)

This expression is long and hard to read. Use namedPattern to assign the pattern to the named pattern, mathSymbols.

mathSymbols = namedPattern(mathSymbols);
shortExpressionPat = asManyOfPattern(mathSymbols + whitespacePattern) + mathSymbols

shortExpressionPat = pattern
  Matching:

    asManyOfPattern(mathSymbols + whitespacePattern) + mathSymbols

  Using named patterns:

    mathSymbols: asManyOfPattern(digitsPattern | characterListPattern("+-*/="),1)

Create a string containing some arithmetic expressions, and then extract the pattern from the text.

txt = "What is the answer to 1 + 1? Oh, I know! 1 + 1 = 2!";
arithmetic = extract(txt,shortExpressionPat)

arithmetic = 2x1 string
    "1 + 1"
    "1 + 1 = 2"

Create a pattern from two named patterns. Naming patterns adds context to the display of the pattern.

Build two patterns: one that matches words that begin and end with the letter D, and one that matches words that begin and end with the letter R.

dWordsPat = letterBoundary + caseInsensitivePattern("d" + lettersPattern + "d") + letterBoundary;
rWordsPat = letterBoundary + caseInsensitivePattern("r" + lettersPattern + "r") + letterBoundary;

Build a pattern using the named patterns that finds a word that starts and ends with D followed by a word that starts and ends with R.

dAndRWordsPat = dWordsPat + whitespacePattern + rWordsPat

dAndRWordsPat = pattern
  Matching:

    letterBoundary + caseInsensitivePattern("d" + lettersPattern + "d") + letterBoundary + whitespacePattern + letterBoundary + caseInsensitivePattern("r" + lettersPattern + "r") + letterBoundary

This pattern is hard to read and does not convey much information about its purpose. Use namedPattern to designate the patterns as named patterns that display specified names and descriptions in place of the pattern expressions.

dWordsPat = namedPattern(dWordsPat,"dWords", "Words that start and end with D");
rWordsPat = namedPattern(rWordsPat,"rWords", "Words that start and end with R");
dAndRWordsPat = dWordsPat + whitespacePattern + rWordsPat

dAndRWordsPat = pattern
  Matching:

    dWords + whitespacePattern + rWords

  Using named patterns:

    dWords: Words that start and end with D
    rWords: Words that start and end with R

  Show more details

Create a string and extract the text that matches the pattern.

txt = "Dad, look at the divided river!";
words = extract(txt,dAndRWordsPat)

words = 
"divided river"

Build an easy to read pattern to match email addresses.

Email addresses follow the structure userename@domain.TLD, where userename and domain are made up of identifiers separated by periods. Build a pattern that matches identifiers composed of any combination of alphanumeric characters and "_" characters. Use maskedPattern to name this pattern identifier.

identifier = asManyOfPattern(alphanumericsPattern(1) | "_", 1);
identifier = maskedPattern(identifier);

Build patterns to match domains and subdomains comprised of identifiers. Create a pattern that matches TLDs from a specified list.

subdomain = asManyOfPattern(identifier + ".") + identifier;
domainName = namedPattern(identifier,"domainName");
tld = "com" | "org" | "gov" | "net" | "edu";

Build a pattern for matching the local part of an email, which matches one or more identifiers separated by periods. Build a pattern for matching the domain, TLD, and any potential subdomains by combining the previously defined patterns. Use namedPattern to assign each of these patterns to a named pattern.

username = asManyOfPattern(identifier + ".") + identifier;
domain = optionalPattern(namedPattern(subdomain) + ".") + ...
            domainName + "." + ...
            namedPattern(tld);

Combine all of the patterns into a single pattern expression. Use namedPattern to assign username, domain, and emailPattern to named patterns.

emailAddress = namedPattern(username) + "@" + namedPattern(domain);
emailPattern = namedPattern(emailAddress)

emailPattern = pattern
  Matching emailAddress:

    username + "@" + domain

  Using named patterns:

    emailAddress  : username + "@" + domain
      username    : asManyOfPattern(identifier + ".") + identifier
      domain      : optionalPattern(subdomain + ".") + domainName + "." + tld
        subdomain : asManyOfPattern(identifier + ".") + identifier
        domainName: identifier
        tld       : "com" | "org" | "gov" | "net" | "edu"

  Show all details

Create a string that contains an email address, and then extract the pattern from the text.

txt = "You can reach me by email at John.Smith@department.organization.org";
extract(txt,emailPattern)

ans = 
"John.Smith@department.organization.org"

Named patterns allow dot-indexing in order to access named subpatterns. Use dot-indexing to assign a specific value to the named pattern domain.

emailPattern.emailAddress.domain = "mathworks.com"

emailPattern = pattern
  Matching emailAddress:

    username + "@" + domain

  Using named patterns:

    emailAddress: username + "@" + domain
      username  : asManyOfPattern(identifier + ".") + identifier
      domain    : "mathworks.com"

  Show all details