{"id":264,"date":"2019-09-18T14:40:22","date_gmt":"2019-09-18T18:40:22","guid":{"rendered":"https:\/\/arriablog22.wpengine.com\/the-importance-of-advanced-mathematical-and-linguistic-functions-in-nlg\/"},"modified":"2022-03-24T16:59:30","modified_gmt":"2022-03-24T20:59:30","slug":"the-importance-of-advanced-mathematical-and-linguistic-functions-in-nlg","status":"publish","type":"post","link":"https:\/\/www.arria.com\/blog\/the-importance-of-advanced-mathematical-and-linguistic-functions-in-nlg\/","title":{"rendered":"The Importance of advanced mathematical and linguistic functions in NLG"},"content":{"rendered":"<p>It may at first seem counterintuitive that math plays an important role in daily conversation, but let\u2019s consider how frequently our word selection and sentence composition are supported by mathematical calculations. Then we\u2019ll discuss the implications for Natural Language Generation (NLG)<!--more-->, and the role of Arria\u2019s advanced mathematical and linguistic functions in the assembly of sentences, paragraphs, and reports for use in business.<\/p>\n<p>In daily conversation, even a simple observation that a residence is \u201cbig,\u201d \u201clarge,\u201d \u201chuge,\u201d \u201csmall,\u201d or \u201ctiny,\u201d for example, relies upon an automatic comparison to other residences that we have in mind. Well, perhaps not to all the others. Perhaps we\u2019re making a relative statement that requires a locational qualifier and a specification of residence type. \u201cFor Texas, that\u2019s a small house.\u201d \u201cFor Brooklyn, that condo is huge!\u201d Still speaking of the Brooklyn condo, we might go on to say, \u201cBut for $1.5 million, 1,200 square feet is tiny compared to the mansion you could buy in Texas.\u201d<\/p>\n<p>Our inherently mathematical nature is a factor in our conversation, whether we are a math PhD, an English major, or a toddler pointing and babbling toward a particular piece of cake that, among its peers, has the greatest total surface area of frosting. Perhaps we don\u2019t have the training to put the formula on paper, but to some degree, everyone\u2014even the toddler\u2014is choosing language and assigning importance in a manner that could be expressed in numbers. In turn, with such simple data sets, humans are able to convert the numbers back to language relatively easily.<\/p>\n<p>Not so with the complex data sets found in the business environment. A tidal wave of numbers ensures that no one, no matter their training, can possibly express those numbers efficiently in words. Insights are lost in the flood. Employees, managers, and executives attempting to comprehend the data find it hard to identify the right patterns and outliers for conversion to the best insights. That is why it is critical for any business-focused NLG system to contain built-in mathematical and linguistic functions\u2014not simply to mirror human thinking, but to do so at massive scale. Such a system helps to bridge the gap between the machine\u2019s computational power and the human\u2019s linguistic choices, giving each entity a measure of the other\u2019s skill.<\/p>\n<p>In the housing example above, the underlying math pertaining to size and price will differ based on geography, and therefore so will the language. Similarly, the relative value of measures in a BI dashboard or any other business analysis reporting depends on dimensions such as time, location, the performance of managers and other personnel, and other factors. The question, for example, of whether a monthly sales figure variance is \u201cacceptable,\u201d \u201cunacceptable,\u201d or \u201coutstanding,\u201d compared to the historical standard deviation is a math question that the system answers in natural language, with human guidance providing the numerical thresholds to select the appropriate words. <\/p>\n<p>Obviously, I\u2019m writing this because Arria offers the functionality described above, but don\u2019t take our word for it. If you\u2019re considering an NLG implementation, be sure to read <a href=\"\/the-4-key-questions-to-ask-when-it-comes-to-nlg\" rel=\"noopener\" target=\"_blank\">The 4 key questions (plus one bonus question!) to ask vendors when it comes to NLG<\/a>, especially the bonus question at the bottom: \u201cAre you willing to have a bake-off against Arria?\u201d<\/p>\n<p>Meantime, we invite you to take the next step toward bringing NLG to your organization by requesting a brief, <a href=\"https:\/\/www.arria.com\/demo\/demo-overview\/\" rel=\"noopener\" target=\"_blank\">personalized demo<\/a> today.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It may at first seem counterintuitive that math plays an&#8230;<\/p>\n","protected":false},"author":22,"featured_media":1140,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[13,14,29],"class_list":["post-264","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-natural-language-generation","tag-nlg","tag-nlg-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - 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