**3.3 Cost-effectiveness**

Cost-effectiveness describes the ability to achieve desired results or outcomes at a reasonable cost or with maximum efficiency. In the context of translation, costeffectiveness means obtaining high-quality translations while minimizing expenses and optimizing resources. Automatic translation offers cost advantages by reducing the dependency on human translators or dubbing specialists. It is achieved by implementing streamlined translation processes, utilizing translation technologies, post-editing, translation memory tools, and terminology management systems. While human translation is still necessary for certain sensitive or creative content, automatic translation can handle the bulk of translation needs, providing a more cost-effective solution for multilingual content production.

#### **3.4 Customization and adaptation**

Customization and adaptation in the context of automatic translation denote to the ability to modify and adjust the translation process to better suit specific requirements or preferences. It involves tailoring the translation system or algorithm to a particular domain, language pair, or style of content to improve the accuracy and acceptability of the translation quality. This customization can include training the system with domain-specific data, incorporating language rules or constraints, or fine-tuning the output based on user feedback. The goal is to enhance suitability of the automated translations for specific use cases or target audiences. Moreover, it can be customized and fine-tuned to accommodate specific domains, genres, or language pairs by NMT systems. This adaptability allows content creators to train the translation models on their own data, ensuring translations align with their specific industry terminology or stylistic preferences.

### **3.5 Human contribution and post-editing**

Human contribution and post-editing represent the involvement of human translators or editors in the process of refining and improving machine-generated translations. After an initial automatic translation is generated by a machine translation system, human translators or editors review and edit the translation to ensure accuracy, fluency, and adherence to specific requirements or guidelines. This human involvement helps to refine and enhance the quality of the translation, addressing any errors, ambiguities, or cultural nuances that may not have been accurately captured

*Language Context in the Future of Television and Video Industry: Exploring Trends… DOI: http://dx.doi.org/10.5772/intechopen.113309*

by the machine translation system alone. Translate Community platforms, where bilingual speakers can contribute to improving machine translations, have emerged as valuable resources. It polishes the output of automatic translation, resulting in higherquality translations for television and video content.

#### **3.6 Real-time subtitling and localization**

Real-time subtitling and localization imply to the process of providing live subtitles or captions in real-time during an event [17]. It involves the simultaneous translation and display of spoken dialog or audio content in the viewer's preferred language. This allows viewers who are deaf or hard of hearing, as well as those who are not fluent in the original language, to follow along with the program or event in real-time. Automatic translation supports real-time subtitling, and localization breaks down language barriers for live television broadcasts, conferences, news, sports, and other live events where immediate accessibility is required. This technology allows viewers to follow the best content in their preferred language, optimizing accessibility and connection.

#### **3.7 Multilingual distribution**

Multilingual distribution specifies the process of distributing content, such as television programs or videos, in multiple languages to reach a diverse audience. It involves translating or adapting the content into different languages and making it available to viewers who prefer or require content in their native language. Multilingual distribution aims to cater to the linguistic diversity of the target audience and enhance accessibility and engagement with the content. It may involve various methods such as dubbing, subtitling, or providing different audio tracks in different languages. Automatic translation facilitates the distribution of multilingual content on various platforms and streaming services. It enables the rapid translation of metadata, video descriptions, and user-generated content, making the content more discoverable and accessible to a global audience.

The use of automatic translation, particularly NMT, in television and video content brings improved translation quality, faster turnaround times, cost-effectiveness, and the ability to engage with global audiences. By combining the power of artificial intelligence and human contribution, the industry can leverage automatic translation to create multilingual content that is accurate, efficient, and culturally relevant. The utilization of automatic translation, specifically Neural Machine Translation (NMT), in the realm of television and video content offers several significant advantages, such as improving the quality of translations, ensuring more accurate and contextually appropriate renditions of the original content.
