We use dictionaries to explore and find new words with similar or contrasting meanings.
In English, we encourage students to diversify the language they use in their writing and encourage them to think about alternative words that can be used instead of common words. In the example below we have searched for all words related to "pizza". There are a number of NLP tools available, such TwinWord, that we can use to explore the relationships between words. We often invite students to demonstrate meaningful relationships between words or topics through creating mind maps or lists of related words or words for a topic. This is not an unfamiliar idea to the classroom. It is seeking an alternative input (text) to make a better connection between what you are saying. If you mis-type a query or a virtual assistant does not understand what you are saying, it will propose alternative suggestions or possibly ask you to try again. For example, a question about "cooking" typed into a Google search query will generate predictions based on related and similar phrases or words used before and that share a meaningful relationship to the phrase "how to cook" and it will also produce search results that share a meaningful relationship to your query based on the words or sentence used. AI technologies, such as Google Search and virtual assistants, will look for relationships between words or sentences and queries entered previously by others. Interpreting Human language is not an easy task and within the field of AI, researchers are working to develop AI algorithms and tools to make better sense of language and to develop AI technologies that can effectively interact with us and our world. Semantics is a branch of linguistics concerned meaning in language and involves studying the relationship between sentences, words or signs and their meaning. Whenever you type a word into Google Search or ask a virtual assistant a question, it tries to understand the meaning of what you are saying - the semantics. Introduction In this lesson we present an unplugged lesson exemplar for teaching students about the Natural Language Processing (NLP) technique of text processing using word associations.
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