Scoring and Metrics The MQM (Multidimensional Quality Metric) is a benchmark Questel employs so that revisers can internally score translators and gauge their performance. MQM measures in an automated ...

UniNMT In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach ...

Speech-to-speech translation is driving industry innovation as AI, edge, and cloud platforms enable real-time, privacy-aware ...

Google's latest Gemini upgrade moves voice closer to a central interaction mode for Search, adding a new wrinkle to SEO.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Abstract: Standard neural machine translation (NMT) assumes that document-level context information is irrespective. Most existing document-level NMT methods are satisfied with a smattering sense of ...

Tencent Holdings Ltd. today open-sourced a new lineup of language models, the Hunyuan-MT series, that is optimized for translation tasks. The Chinese tech firm says that the algorithms significantly ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

Abstract: With the continuous development of economic globalization and information globalization, the importance of translation has also increased. Neural machine translation technology uses deep ...

Advancements in computational tools, including neural machine translation (NMT) and large language models (LLMs), have revolutionized literary stylistics and opened new avenues in corpus-based ...

1 Department of Languages and Translation, Taiz University, Taiz, Yemen 2 Department of Languages and Translation, Taibah University, Madina, Saudi Arabia Introduction: Post-editing plays a crucial ...