首页|Reports Summarize Machine Translation Research from National Institute of Techno logy (Multimodal Machine Translation Approaches for Indian Languages: A Comprehe nsive Survey)
Reports Summarize Machine Translation Research from National Institute of Techno logy (Multimodal Machine Translation Approaches for Indian Languages: A Comprehe nsive Survey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on machine translation are presented in a new report. According to news reporting out of the National Insti tute of Technology by NewsRx editors, research stated, "Multimodal machine trans lation (MMT) is a challenging task in the linguistically diverse Indian landscap e. Machine translation refers to the task of automatically converting content fr om one language to another without human involvement." The news journalists obtained a quote from the research from National Institute of Technology: "Within the realm of natural language processing, a significant c hallenge arises from the inherent ambiguity present in human language. Translati on ambiguity is a cross-lingual phenomenon that can manifest itself for various reasons, including lexical ambiguity, the occasional need to impute missing word s, the presence of gen-der ambiguity, and word-sense ambiguities. These factors can lead to a decrease in translation accuracy. The integration of multiple moda lities, such as images, videos, and audio, in addition to text, plays a pivotal role in improving the robustness and precision of translation systems. Over the past five years, extensive research has been dedicated to incorporating secondar y modalities alongside text to improve language translation and comprehension. I n this comprehensive study, our objective was to identify and explore promising MMT approaches, available corpora, eval-uation metrics, research challenges, and the future direction of research specifically for Indian languages. We evaluate d 81 papers, including MMT models, MMT dataset in Indian languages, survey on MM T approach, and the effects of multiple modalities in machine translation."
National Institute of TechnologyEmergi ng TechnologiesMachine LearningMachine Translation
NETL
NSTL
