{"id":73,"date":"2014-04-26T05:14:01","date_gmt":"2014-04-26T05:14:01","guid":{"rendered":"http:\/\/localhost\/free\/ltrl\/?page_id=73"},"modified":"2024-04-30T11:05:45","modified_gmt":"2024-04-30T05:35:45","slug":"research","status":"publish","type":"page","link":"https:\/\/ltrl.ucsc.lk\/ta\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"73\" class=\"elementor elementor-73\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2a453ee e-flex e-con-boxed e-con e-parent\" data-id=\"2a453ee\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1416d4c elementor-widget elementor-widget-spacer\" data-id=\"1416d4c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 28-02-2024 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container{height:100%;width:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty,.e-con>.elementor-widget-spacer.elementor-widget-empty{position:relative;min-height:22px;min-width:22px}.e-con-inner>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon,.e-con>.elementor-widget-spacer.elementor-widget-empty .elementor-widget-empty-icon{position:absolute;top:0;bottom:0;left:0;right:0;margin:auto;padding:0;width:22px;height:22px}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b775820 e-flex e-con-boxed e-con e-parent\" data-id=\"b775820\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-efbe0fe e-con-full e-flex e-con e-child\" data-id=\"efbe0fe\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-6ef88b4 e-flex e-con-boxed e-con e-child\" data-id=\"6ef88b4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9762ebe elementor-widget elementor-widget-heading\" data-id=\"9762ebe\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 28-02-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h1 class=\"elementor-heading-title elementor-size-default\">Ongoing Research Projects<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1aac8af e-flex e-con-boxed e-con e-child\" data-id=\"1aac8af\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c9e7247 elementor-widget elementor-widget-text-editor\" data-id=\"c9e7247\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.19.0 - 28-02-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe85fa\"  tabindex=\"0\" title=\"Speech recognition system for Sinhala\"    >Speech recognition system for Sinhala<\/span><div id=\"target-id6af7addfe85fa\" class=\"collapseomatic_content \"> <\/em>This project aims on building a continuous speech recognition system for Sinhala mainly for the purpose of dictating documents. The system is developed using the Hidden Markove Model technology with the help of HTK toolkit.<em> (Research Papers: <a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?reload=true&amp;arnumber=6761170&amp;pageNumber%3D132971\" target=\"_blank\" rel=\"noopener\">1<\/a>, <a href=\"http:\/\/www.cle.org.pk\/hltd\/pdf\/HLTD201123.pdf\" target=\"_blank\" rel=\"noopener\">2<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe8659\"  tabindex=\"0\" title=\"Sinhala \u2013 Tamil Machine translation system\"    >Sinhala \u2013 Tamil Machine translation system<\/span><div id=\"target-id6af7addfe8659\" class=\"collapseomatic_content \">\u00a0<span class=\"im\">Ultimate goal of this research is to develop a machine translation system for Sinhala-Tamil language pair to reduce the language barrier between Sinhala and Tamil communities and thereby to help solve a burning issue in the country. We are aiming to develop machine translation system for both Sinhala to Tamil and Tamil to Sinhala directions. Currently we are investigating the possibilities of \u00a0integrating linguistic information to machine translation system since Sinhala and Tamil languages are morphologically rich languages.\u00a0<\/span> (Research Papers: <a href=\"http:\/\/link.springer.com\/chapter\/10.1007%2F978-3-319-18111-0_41\" target=\"_blank\" rel=\"noopener\">1<\/a>, <a href=\"http:\/\/aclweb.org\/anthology\/U\/U14\/U14-1018.pdf\" target=\"_blank\" rel=\"noopener\">2<\/a>, <a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/login.jsp?tp=&amp;arnumber=6761202&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6747516%2F6761138%2F06761202.pdf%3Farnumber%3D6761202\" target=\"_blank\" rel=\"noopener\">3<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe868c\"  tabindex=\"0\" title=\"Morphological analyzer for Sinhala\"    >Morphological analyzer for Sinhala<\/span><div id=\"target-id6af7addfe868c\" class=\"collapseomatic_content \">\u00a0<\/em>Description will be added soon <em> (<a href=\"http:\/\/ltrc.iiit.ac.in\/icon\/2013\/proceedings\/File23-paper42.pdf\" target=\"_blank\" rel=\"noopener\">Research Paper<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe86b4\"  tabindex=\"0\" title=\"Building a Sinhala \u2013Tamil parallel corpus\"    >Building a Sinhala \u2013Tamil parallel corpus<\/span><div id=\"target-id6af7addfe86b4\" class=\"collapseomatic_content \">\u00a0<\/em><em><\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe86d8\"  tabindex=\"0\" title=\"Building a Tamil corpus\"    >Building a Tamil corpus<\/span><div id=\"target-id6af7addfe86d8\" class=\"collapseomatic_content \"> <span class=\"im\">The main objective of this task is to collect 3 million words Sri Lankan Tamil language corpus. This is a very useful resource to build tools for machine assisted and automatic translation between the two languages as well as translation studies.<\/span>\u00a0<\/em> <em><\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe86fa\"  tabindex=\"0\" title=\"Building a speech corpus for Sinhala\"    >Building a speech corpus for Sinhala<\/span><div id=\"target-id6af7addfe86fa\" class=\"collapseomatic_content \"> <\/em>This project aims on building a speech corpus for Sinhala using NEWS recordings from Sri Lanka Broadcasting Corporation. This aims on collecting 20,000 utterances and their corresponding text transcriptions.<em> (<a href=\"http:\/\/ltrc.iiit.ac.in\/icon\/2013\/proceedings\/File32-paper53.PDF\" target=\"_blank\" rel=\"noopener\">Research Paper<\/a>) <\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe871b\"  tabindex=\"0\" title=\"Text To Speech (TTS) System for Sinhala\"    >Text To Speech (TTS) System for Sinhala<\/span><div id=\"target-id6af7addfe871b\" class=\"collapseomatic_content \">\u00a0<\/em>This project was to develop a human sounding Sinhala test reader which will enable the visually impaired Sinhala community to access digital text in their mother language, using a computer. Unit selection approach on OpenMARY Text-to-Speech Synthesis platform was used to build the Sinhala voice.<em> <\/div><\/em><\/p><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-35a2bf7 e-con-full e-flex e-con e-child\" data-id=\"35a2bf7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-1a9c17d e-flex e-con-boxed e-con e-child\" data-id=\"1a9c17d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8ba8a71 elementor-widget elementor-widget-heading\" data-id=\"8ba8a71\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Past Research projects<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3d9f1f1 e-flex e-con-boxed e-con e-child\" data-id=\"3d9f1f1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5874e1a e-flex e-con-boxed e-con e-child\" data-id=\"5874e1a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6b068a0 elementor-widget elementor-widget-text-editor\" data-id=\"6b068a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><br \/><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe9cf6\"  tabindex=\"0\" title=\"Sinhala OCR (Beta version)\"    >Sinhala OCR (Beta version)<\/span><div id=\"target-id6af7addfe9cf6\" class=\"collapseomatic_content \"> <\/em>This attains overall accuracy of approximately 85%. This attempt of recognizing Sinhala characters is font specific and we considered four popular fonts. A font specific Sinhala Optical Character Recognition system developed using the k-NN algorithm. This system supports four popular proprietary fonts \u2018<em>Abhaya<\/em>\u2019, \u2018<em>Manel<\/em>\u2019 \u2018<em>Lakbima<\/em>\u2019 and \u2018<em>Divaina<\/em>\u2019.<em> (<a href=\"http:\/\/aclweb.org\/anthology\/I\/I08\/I08-2142.pdf\" target=\"_blank\" rel=\"noopener\">Research Paper<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe9d3f\"  tabindex=\"0\" title=\"Shikshaka \u2013 framework for developing language learning tools\"    >Shikshaka \u2013 framework for developing language learning tools<\/span><div id=\"target-id6af7addfe9d3f\" class=\"collapseomatic_content \"> <\/em>Shikshaka is a computer based teaching framework developed for teaching spoken aspect of languages using a dialogue-based andragogy. Effective technological methodologies were used to develop the system as an interactive tool using the goal oriented approach developed by linguistic scholars. We have used the framework to implement two scenarios: to teach Tamil using Sinhala and to teach Sinhala using English. The learner\u2019s language can be customized with little effort, while the framework is flexible enough to be customized to teach other target languages as well with some pedagogical input.<em> (<a href=\"http:\/\/www.cle.org.pk\/hltd\/pdf\/HLTD201128.pdf\" target=\"_blank\" rel=\"noopener\">Research Paper<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe9d6f\"  tabindex=\"0\" title=\"Developing a Computational Grammar for Sinhala\"    >Developing a Computational Grammar for Sinhala<\/span><div id=\"target-id6af7addfe9d6f\" class=\"collapseomatic_content \"> <\/em>This is an attempt to develop a feature-based CFG for non-trivial sentences in Sinhala. The resulting grammar covers a significant subset of Sinhala. A parser for producing the appropriate parse tree(s) of input sentences was developed using the NLTK toolkit.<em> (<a href=\"http:\/\/link.springer.com\/chapter\/10.1007%2F978-3-642-28604-9_16#page-1\" target=\"_blank\" rel=\"noopener\">Research Paper<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe9d96\"  tabindex=\"0\" title=\"kathabaha - Text To Speech (TTS) System for Sinhala\"    >kathabaha &#8211; Text To Speech (TTS) System for Sinhala<\/span><div id=\"target-id6af7addfe9d96\" class=\"collapseomatic_content \"> <\/em>While there were some experimental TTS systems by the UCSC for Sinhala are already under work, the aim of this project was to produce one that is of commercial quality. To this end, considerable effort was be spent on quality aspects of this activity. Apart from identifying the phonetic alphabet of the language, recording relevant word sentences in the database and building a text analysis component, the project also produced a synthesizing engine that facilitates natural sounding Sinhala voice. The basic methodology adopted is based on the diphone concatenation approach.<em> (Research Papers: <a href=\"http:\/\/www.panl10n.net\/english\/outputs\/Working%20Papers\/Sri%20Lanka\/Microsoft%20Word%20-%204_E_N_500.pdf\" target=\"_blank\" rel=\"noopener\">1<\/a>, <a href=\"http:\/\/www.panl10n.net\/english\/outputs\/Working%20Papers\/Sri%20Lanka\/Microsoft%20Word%20-%205_OK_N_507.pdf\" target=\"_blank\" rel=\"noopener\">2<\/a>, <a href=\"http:\/\/www.panl10n.net\/english\/outputs\/Working%20Papers\/Sri%20Lanka\/Microsoft%20Word%20-%203_E_N_493.pdf\" target=\"_blank\" rel=\"noopener\">3<\/a>)<\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe9db7\"  tabindex=\"0\" title=\"Akaradi - Trilingual Lexicon\"    >Akaradi &#8211; Trilingual Lexicon<\/span><div id=\"target-id6af7addfe9db7\" class=\"collapseomatic_content \"> <\/em>Description will be added soon<em> <\/div><\/em><\/p><p><em><span class=\"collapseomatic \" id=\"id6af7addfe9dd7\"  tabindex=\"0\" title=\"Aharamariyi Tamil OCR\"    >Aharamariyi Tamil OCR<\/span><div id=\"target-id6af7addfe9dd7\" class=\"collapseomatic_content \"> Aharamariyi <\/em>is a Tamil Optical Character Recognition system built using the Tesseract OCR engine. We used several methods in identifying the features of Tamil script and to extract the most accurate combinations of training data. Aharamariyi OCR gives a 81% accuracy to our evaluation data set.<em> (<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/login.jsp?tp=&amp;arnumber=7377678&amp;url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7377678\" target=\"_blank\" rel=\"noopener\">Research Paper<\/a>)<\/div><\/em>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Ongoing Research Projects \u00a0 Past Research projects \u00a0<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/pages\/73"}],"collection":[{"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/comments?post=73"}],"version-history":[{"count":187,"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/pages\/73\/revisions"}],"predecessor-version":[{"id":2308,"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/pages\/73\/revisions\/2308"}],"wp:attachment":[{"href":"https:\/\/ltrl.ucsc.lk\/ta\/wp-json\/wp\/v2\/media?parent=73"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}