{"id":81944,"date":"2025-12-10T11:04:41","date_gmt":"2025-12-10T02:04:41","guid":{"rendered":"https:\/\/www.yaraku.com\/?p=81944"},"modified":"2025-12-10T11:04:45","modified_gmt":"2025-12-10T02:04:45","slug":"notice-251209","status":"publish","type":"post","link":"https:\/\/www.yaraku.com\/en\/news\/notice-251209\/","title":{"rendered":"Research Paper by Yaraku Engineer Published in Japan\u2019s Only Academic Journal Focused on Machine Translation"},"content":{"rendered":"\n<p><strong>Yaraku Inc.<\/strong>, provider of the AI-powered computer-assisted translation (CAT) tool <em>Yaraku Translate<\/em>, is pleased to announce that a research paper authored by our natural language processing team has been published in <em>Machine Translation<\/em>\uff08\u6a5f\u68b0\u7ffb\u8a33\uff09. <br>The journal is Japan\u2019s only academic publication dedicated to machine translation and is issued by the Asia-Pacific Association for <em>Machine Translation<\/em> (AAMT).<br>The paper, titled <strong><em>Quality Estimation Reranking for Document-level Translation<\/em><\/strong>, presents research showing that a separate AI model can automatically select the best translation from multiple AI-generated candidates, resulting in more natural and coherent document-level translations. Its publication reflects external recognition of Yaraku\u2019s ongoing research in translation technology.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"593\" height=\"837\" src=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c12.00.44.png\" alt=\"\" class=\"wp-image-81973\" style=\"width:401px;height:auto\" srcset=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c12.00.44.png 593w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c12.00.44-213x300.png 213w\" sizes=\"auto, (max-width: 593px) 100vw, 593px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Background and Contributions<\/strong><\/h2>\n\n\n\n<p>The study investigates Quality Estimation (QE) Reranking, a method in which multiple translation candidates produced by an NMT model are evaluated by <strong>a separate AI model that predicts which candidate is the most accurate and natural.<\/strong><br>While most previous studies focused on sentence-level evaluation, this research is notable for analyzing QE reranking <strong>at the document level,<\/strong> accounting for context across multiple sentences.<\/p>\n\n\n\n<p>To evaluate translation quality, the authors compared several approaches:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Comet \u2014 a neural evaluation method<\/strong><\/li>\n\n\n\n<li><strong>SLIDE \u2014 a document-level extension of the Comet family<\/strong><\/li>\n\n\n\n<li><strong>GEMBA-DA \u2014 an LLM-based direct assessment method<\/strong><\/li>\n<\/ul>\n\n\n\n<p>The results show <strong>a promising trend: translation quality improves as more translation candidates are used, with continuous gains observed up to 32<\/strong>.<br>This demonstrates how <strong>reranking can be integrated into translation engines to strengthen performance<\/strong>.<br>As the approach is <strong>efficient and simple<\/strong>, these findings suggest strong applicability to real-world business documents and other long-form text.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"545\" src=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c4.51.23-1024x545.png\" alt=\"\" class=\"wp-image-81992\" style=\"aspect-ratio:1.878958921291941;width:673px;height:auto\" srcset=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c4.51.23-1024x545.png 1024w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c4.51.23-300x160.png 300w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c4.51.23-768x409.png 768w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u5f8c4.51.23.png 1184w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Relevance to Yaraku\u2019s Development Approach<\/strong><\/h2>\n\n\n\n<p>Although this research is not a feature directly implemented in <em>Yaraku Translate<\/em>, it provides academic validation for Yaraku\u2019s technology direction, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Enhancing document-level coherence and naturalness<\/li>\n\n\n\n<li>Designing systems that choose the best output among multiple translation candidates<\/li>\n\n\n\n<li>Improving translation through objective, data-driven evaluation, rather than intuition<\/li>\n<\/ul>\n\n\n\n<p>Yaraku continues to strengthen translation quality by combining stable NMT with complementary use of large language models (LLMs) such as GPT and Claude, ensuring more natural and contextually appropriate translations.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Value for Users of Yaraku Translate<\/strong><\/h2>\n\n\n\n<p>The research offers several meaningful insights for organizations using Yaraku Translate:<\/p>\n\n\n\n<p><strong>\u2022 Validated direction for translation technology<\/strong><br>Confirms that Yaraku\u2019s focus on document-level quality aligns with academically supported methodologies.<\/p>\n\n\n\n<p><strong>\u2022 A foundation for continuous product improvement<\/strong><br>Indicates that Yaraku\u2019s translation models are developed with scientific rigor, supporting ongoing enhancements.<\/p>\n\n\n\n<p><strong>\u2022 Higher consistency for enterprise documents<\/strong><br>Benefits use cases such as contracts, manuals, and IR materials where cross-sentence consistency is essential.<\/p>\n\n\n\n<p><strong>\u2022 Evidence of a data-driven development approach<\/strong><br>Demonstrates Yaraku\u2019s commitment to evaluating translation quality with objective, research-based methods.<\/p>\n\n\n\n<p><strong>\u2022 Confidence in long-term product reliability<\/strong><br>Shows Yaraku\u2019s sustained investment in translation research and technology.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Paper Details<\/strong><\/h2>\n\n\n\n<p><strong>Title:<br><\/strong><em>Quality Estimation Reranking for Document-level Translation<\/em><\/p>\n\n\n\n<p><strong>Published in:<br><\/strong><em>AAMT Journal Machine Translation<\/em>\uff08\u6a5f\u68b0\u7ffb\u8a33\uff09, No. 83 \u2014 November 29, 2025<br>(Publisher: Asia-Pacific Association for Machine Translation)<\/p>\n\n\n\n<p><strong>Key Topics:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Document-level QE reranking<\/li>\n\n\n\n<li>Reranking N-best outputs from NMT models<\/li>\n\n\n\n<li>Comparison of SLIDE, Comet-Kiwi, and GEMBA-DA<\/li>\n\n\n\n<li>Quality improvements achieved with automatic evaluation of translation candidates<\/li>\n\n\n\n<li>Computational efficiency for practical use<\/li>\n<\/ul>\n\n\n\n<p><strong>Authors<\/strong><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/Krzysztof_Mrozinski-1-1024x576.png\" alt=\"\" class=\"wp-image-81953\" style=\"width:401px;height:auto\" srcset=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/Krzysztof_Mrozinski-1-1024x576.png 1024w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/Krzysztof_Mrozinski-1-300x169.png 300w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/Krzysztof_Mrozinski-1-768x432.png 768w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/Krzysztof_Mrozinski-1-1536x864.png 1536w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/Krzysztof_Mrozinski-1.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><strong>Krzysztof Mrozinski<\/strong><\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u516b\u89d2\u5f62\u5199\u771f-for-Notion-Directry-2-1-1024x576.png\" alt=\"\" class=\"wp-image-81961\" style=\"width:411px;height:auto\" srcset=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u516b\u89d2\u5f62\u5199\u771f-for-Notion-Directry-2-1-1024x576.png 1024w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u516b\u89d2\u5f62\u5199\u771f-for-Notion-Directry-2-1-300x169.png 300w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u516b\u89d2\u5f62\u5199\u771f-for-Notion-Directry-2-1-768x432.png 768w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u516b\u89d2\u5f62\u5199\u771f-for-Notion-Directry-2-1-1536x864.png 1536w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u516b\u89d2\u5f62\u5199\u771f-for-Notion-Directry-2-1.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\"><strong>Minji Kang<\/strong><\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n<p><strong>LINK<\/strong><br><a href=\"https:\/\/aamt.info\/wp-content\/uploads\/2025\/11\/AAMT%E3%82%B8%E3%83%A3%E3%83%BC%E3%83%8A%E3%83%ABNo83.pdf\" target=\"_blank\" rel=\"noreferrer noopener\"><em><em>AAMT Journal Machine Translation<\/em>\uff08\u6a5f\u68b0\u7ffb\u8a33\uff09<\/em>, No. 83<\/a><\/p>\n\n\n\n<p><em>\u203bYou can read the paper starting from page 50 of the PDF.<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><a href=\"https:\/\/aamt.info\/wp-content\/uploads\/2025\/11\/AAMT%E3%82%B8%E3%83%A3%E3%83%BC%E3%83%8A%E3%83%ABNo83.pdf\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"596\" height=\"839\" src=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u524d11.59.59.png\" alt=\"\" class=\"wp-image-81969\" style=\"width:328px;height:auto\" srcset=\"https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u524d11.59.59.png 596w, https:\/\/www.yaraku.com\/wp-content\/uploads\/2025\/12\/\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8-2025-12-09-\u5348\u524d11.59.59-213x300.png 213w\" sizes=\"auto, (max-width: 596px) 100vw, 596px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Yaraku Inc., provider of the AI-powered computer-assisted translation (CAT) tool Yaraku Translate, is pleased to announce that a research paper authored by our natural language processing team has been published in Machine Translation\uff08\u6a5f\u68b0\u7ffb\u8a33\uff09. The journal is Japan\u2019s only academic publication dedicated to machine translation and is issued by the Asia-Pacific Association for Machine Translation (AAMT).The [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":81945,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[369],"tags":[],"class_list":["post-81944","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-release"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Research Paper by Yaraku Engineer Published in Japan\u2019s Only Academic Journal Focused on Machine Translation - \u30e4\u30e9\u30af\u7ffb\u8a33 - \u6700\u5148\u7aef\u306eAI\u81ea\u52d5\u7ffb\u8a33\u30fb\u6a5f\u68b0\u7ffb\u8a33<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.yaraku.com\/en\/news\/notice-251209\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research Paper by Yaraku Engineer Published in Japan\u2019s Only Academic Journal Focused on Machine Translation - \u30e4\u30e9\u30af\u7ffb\u8a33 - \u6700\u5148\u7aef\u306eAI\u81ea\u52d5\u7ffb\u8a33\u30fb\u6a5f\u68b0\u7ffb\u8a33\" \/>\n<meta property=\"og:description\" content=\"Yaraku Inc., provider of the AI-powered computer-assisted translation (CAT) tool Yaraku Translate, is pleased to announce that a research paper authored by our natural language processing team has been published in Machine Translation\uff08\u6a5f\u68b0\u7ffb\u8a33\uff09. 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