{"id":19517,"date":"2025-03-17T07:48:08","date_gmt":"2025-03-17T06:48:08","guid":{"rendered":"https:\/\/thesmartcityjournal.cibeles.net\/sin-categoria\/with-ai-and-linguistics-this-professor-is-decoding-how-animals-and-humans-communicate\/"},"modified":"2025-03-17T07:43:46","modified_gmt":"2025-03-17T06:43:46","slug":"with-ai-and-linguistics-this-professor-is-decoding-how-animals-and-humans-communicate","status":"publish","type":"post","link":"https:\/\/www.thesmartcityjournal.com\/en\/artificial-intelligence\/with-ai-and-linguistics-this-professor-is-decoding-how-animals-and-humans-communicate","title":{"rendered":"With AI and linguistics, this professor is decoding how animals and humans communicate"},"content":{"rendered":"<p class=\"lead\"><i>Watch a UC Berkeley linguistics professor explain his work in just 101 seconds.<\/i><\/p>\n<p>When <a href=\"https:\/\/www.gasperbegus.com\/\" target=\"_blank\" rel=\"nofollow noopener\">Ga\u0161per Begu\u0161<\/a> began studying linguistics, he spent his time deciphering ancient, largely dead languages. \u201cNobody cared about linguistics,\u201d he says in this episode of <a href=\"https:\/\/www.youtube.com\/playlist?list=PLi80c3aYgKxChi4wDM4IfUTgKNu70dWd-\" target=\"_blank\" rel=\"nofollow noopener\">101 in 101<\/a>, a series from UC Berkeley that challenges professors and other experts to distill the basics of their field of study into only 101 seconds.<\/p>\n<p>But today, linguistics sits at the crossroads of numerous disciplines, including biology, law, and computer science. Colleagues from across academia are suddenly interested in leveraging what linguists have learned.<\/p>\n<p>\u201cThe machine learning people really want to know how we do things,\u201d says Begu\u0161, an associate professor of linguistics at Berkeley. So do lawyers, biologists, and others.<\/p>\n<p>And Begu\u0161, for his part, wants to know how the machines learn. In his lab, he\u2019s working with an artificial intelligence that has been built to listen and then mimic the sounds it hears, much like a human infant.<\/p>\n<p>The artificial intelligence system might help shed light on how we learn our first words and construct our first sentences.<\/p>\n<p>\u201cThere\u2019s still so many unknowns about how we are able to learn language,\u201d says Begu\u0161.<\/p>\n<h2 class=\"articletitle\">Expanding Linguistics Beyond Humans<\/h2>\n<p>Begu\u0161 is also using AI in other novel ways. As he explains, linguistics has long only studied human language, but he and others are working to open up the field to other species. His lab is using AI to examine sounds made by jumping spiders, elephants, bees, and sperm whales.<\/p>\n<p>\u201cIt\u2019s really powerful to use linguistics as a tool to look inside these animals and see how they communicate, how their lives work,\u201d says Begu\u0161. \u201cI think it\u2019s a really exciting time because we\u2019re opening up linguistics to these artificial models on one hand and then the animal kingdom on the other.\u201d<\/p>\n<p><i>Source: <\/i><a href=\"https:\/\/news.berkeley.edu\/author\/patrickfarrell\/\" target=\"_blank\" rel=\"nofollow noopener\"><i>Sean Patrick Farrell<\/i><\/a> <i>(<a href=\"https:\/\/news.berkeley.edu\/\" target=\"_blank\" rel=\"nofollow noopener\">news.berkeley.edu<\/a>)<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Watch a UC Berkeley linguistics professor explain his work in just 101 seconds. When Ga\u0161per Begu\u0161 began studying linguistics, he spent his time deciphering ancient, largely dead languages. \u201cNobody cared about linguistics,\u201d he says in this episode of 101 in 101, a series from UC Berkeley that challenges professors and other experts to distill the\u2026<\/p>\n","protected":false},"author":2,"featured_media":19516,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_scj_primary_category_id":55,"_scj_featured":false,"_scj_featured_from":"","_scj_featured_until":"","_scj_featured_order":0,"_scj_visibility_class":"current","_scj_layout_family":"video","_scj_article_style":"","_scj_display_overrides":[],"_scj_intro_image_id":19516,"_scj_intro_alt":"UC Berkeley professor discusses AI and language learning in a 101-second video","_scj_intro_caption":"","_scj_intro_class":"","_scj_intro_float":"","_scj_full_image_id":19516,"_scj_full_alt":"UC Berkeley professor discusses AI and language learning in a 101-second video","_scj_full_caption":"","_scj_full_class":"","_scj_full_float":"","_scj_media_type":"video","_scj_media_provider":"youtube","_scj_media_external_id":"gccAwKQ6d2k","_scj_media_url":"https:\/\/www.youtube.com\/watch?v=gccAwKQ6d2k","_scj_media_poster_id":19516,"_scj_media_width":640,"_scj_media_height":360,"_scj_media_aspect_ratio":"16:9","_scj_media_description":"","_scj_gallery_items":[],"_scj_related_post_ids":[],"_scj_additional_authors":[],"scj_layout_family":"video","scj_media_provider":"youtube","scj_media_url":"https:\/\/www.youtube.com\/watch?v=gccAwKQ6d2k","scj_full_caption":"","footnotes":""},"categories":[55],"tags":[1943,2241,2239,299,2240],"class_list":["post-19517","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-articial-intelligence","tag-language-learning","tag-linguistics","tag-machine-learning","tag-uc-berkeley"],"yoast_head":"<!-- This site is optimized with the Yoast SEO 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