![]() 100 Vocabulary Words with Meaning and Sentences Here are 100 vocabulary words, which will enhance your English language skills. One of the many challenges is remembering the vocabulary.ĭo many newcomers have trouble remembering English words? Well, memorising new words is a significant challenge in learning a new language, but it is not insurmountable. These difficulties are exacerbated when the language in question is as important as English. You can have up to 10įor more information about Amazon Kendra quotas, see Quotas for Amazon Kendra.Mastering a new language is not easy because there are numerous challenges to overcome while learning and comprehending the language. This example has theįollowing terms: AWS CodeStar, autoscaling group, ![]() The term count is the number of unique terms in the theaurus file. You can have a maximum of 10,000 synonym rules per thesaurus. For example, if you search for dead-letter-queue,Īmazon Kendra will match document containing dead letter queue (no For example, a => b is a rule, butĪ => a is ignored and does not count as a rule. A synonymĭead-letter-queue, Kendra will match documents matching dead letter queue. Each line contains a single synonym rule. # Comments and blanks lines do not count. # This thesaurus has a synonym rule count of 6 and a term count of 18. # Term count is the total number of unique terms for all rules. # Synonym rule count is the total number of lines defining synonym relationships # DNS, Route53, and Route 53 map to one another and are interchangeable at match time # Bi-directional synonyms are comma separated terms with no "=>" ![]() # autoscaling group => Auto Scaling group, autoscaling # Multiple synonym relationships may be defined in one line as well by comma seperation.Īutoscaling group, ASG => Auto Scaling group, autoscaling ![]() # This will map CodeStar to AWS CodeStar, but not vice-versa # on the left hand side (LHS) of "=>" followed by synonyms on the right hand side (RHS) # Unidirection relationships are represented by any term sequence # Synonym relationships can be defined as unidirectional or bidirectional relationships. # Lines starting with pound are comments and blank lines are ignored. For example, if you search forĭead-letter-queue, Kendra matches documents with the phrase dead letter A synonymĭoes not do an exact match on special characters. The following example shows a thesaurus file with synonyms for the sample AWS documentation for Amazon Kendra. Machine Learning => ML, then "Machine Learning" or "machine learning" or Uses some other case, it will map to "Machine Learning". The synonyms themselves are case sensitive, but the terms they map to are case insensitive.įor example, ML => Machine Learning means if your user queries "ML" or "ml" or It is not mapped vice versa, making this unidirectional. The left of the symbol "=>", then it is mapped to a term on the right to search forĭocuments using the synonym. Symbol "=>" between them to map terms to their synonyms. Unidirectional synonyms are specified as terms separated by the Search documents, which includes the original queried term. If your user queries any of the terms, then all the terms in the list are used to Bidirectional synonyms are specified as a comma-separated list of
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