{"id":37611,"date":"2022-12-12T07:00:00","date_gmt":"2022-12-12T07:00:00","guid":{"rendered":"https:\/\/phrase.com\/?p=37611"},"modified":"2024-02-08T14:18:56","modified_gmt":"2024-02-08T13:18:56","slug":"enterprise-machine-translation","status":"publish","type":"post","link":"https:\/\/phrase.com\/blog\/posts\/enterprise-machine-translation\/","title":{"rendered":"Enterprise Machine Translation: 4 Tips for Future-Proof Implementation"},"content":{"rendered":"\n
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In a globalized world, where local markets and consumer preferences evolve every day, growing companies have long moved beyond the why of using <\/span>machine translation<\/span><\/a>\u00a0(MT). With continuous improvements in quality, MT has risen to a viable productivity tool for entering new markets more quickly while keeping costs low.<\/span><\/p>\n

Nevertheless, questions still swirl around the how of <\/span>implementing machine translation<\/span><\/a> into globalization strategies, with no single approach being clearly dominant. What are common use cases for MT in the modern enterprise environment? How do you deploy machine translation, reduce error risk, and assess its business impact?<\/span><\/p>\n

If you, too, are looking for answers to these questions, you\u2019ve come to the right place. To provide you with hands-on insight and help create future-proof implementation strategies, we\u2019ve put together this roadmap addressing the most immediate challenges and opportunities of enterprise machine translation.<\/span><\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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Download for free<\/p>\n

Your up-to-the-minute guide to machine translation<\/p>\n

Learn about new technologies to improve machine translation output quality, the latest on MT post-editing pricing models, and how to best shop for machine translation.<\/p>\n

Download guide<\/a><\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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What business areas can machine translation best serve?<\/span><\/h2>\n

Today, machine translation is well-positioned to serve almost any aspect of the business world that requires translation. That said, two core areas where MT has been increasingly helpful are customer interactions and intracompany communication (e.g., employee-to-employee). Let\u2019s have a closer look at both.<\/span><\/p>\n

Customer interactions<\/span><\/h3>\n

Traditionally, large enterprises have significantly invested in <\/span>human translation<\/span> for their customer-centric or \u201coutbound\u201d content. This, however, is no longer the only option\u2014MT can play a major role in relatively new inbound (customer-to-enterprise) and sidebound (customer-to-customer) content types.<\/span><\/p>\n

Whether social media interactions, customer feedback, or online reviews, all of this user-generated content (UGC) offers invaluable insights into how customers may think and feel about a product. Still, with its ever-growing volume, UGC often proves impractical for human translation. This is where MT can play a key role with its ability to process large content volumes quickly.\u00a0<\/span><\/p>\n

When enterprises use MT alongside other natural language processing (NLP) tools, like sentiment analysis, marketing departments can get an even better understanding of the in-country sentiment around their products.<\/span><\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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Tip:<\/strong> Using machine translation alongside sentiment analysis can provide the deepest possible understanding of a company\u2019s international markets.<\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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Unlock the power of machine translation<\/p>\n

Discover advanced machine translation management features within our enterprise-ready TMS and create new business opportunities worldwide more quickly and efficiently.<\/span><\/p>\n

Explore solutions<\/a><\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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A company that has already taken the plunge in this sense is <\/span>TripAdvisor<\/span><\/a>, using machine translation to translate billions of words in customer reviews every year. This has helped the company increase the value they bring to its customers and also improve its overall business performance.<\/span><\/p>\n

The improvement in <\/span>neural machine translation<\/span><\/a> has particularly helped brands featuring customer reviews translate UGC at scale without the need for human supervision. For companies like TripAdvisor and others relying heavily on UGC, neural MT <\/span>has been a game changer<\/span><\/a>\u2014users stick around longer, on-page advertising revenue increases, and brand loyalty gets a boost.<\/span><\/p>\n

The key to making the most of MT in this area is to meticulously distinguish between content types and think about the utility of the content for the end user. This is the most reliable way for decision-makers to create pipelines of content for raw machine translation vs content that you may need to run through a trained MT engine or get translated by a professional linguist.<\/span><\/p>\n

Intracompany communication<\/span><\/h3>\n

It\u2019s not uncommon for enterprises to expand into markets whose languages the business hasn\u2019t covered before. Using machine translation here to facilitate employee-to-employee or employee-to-HR communications can enable quick and efficient collaboration, sharing feedback and documents, or even participating in meetings across language barriers.<\/span><\/p>\n

As an enterprise expands into new countries, it\u2019s essential to make sure that internal communications are as seamless and efficient as possible. When the language of the headquarters is different from the language spoken by branch employees, machine translation helps bridge the gap.<\/span><\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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Tip:<\/strong> Using machine translation for inter-office and intercultural employee communications, such as HR documents, office circulars, meeting notes, feedback forms, policies, etc., makes for a smoother and more efficient workflow.<\/p>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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DEI values\u2014diversity, equality, and inclusivity\u2014involve ensuring that all voices are heard, regardless of language, and MT makes that possible. When companies use MT to provide a multilingual experience for their employees, not only does it create a more inclusive work environment, but it also helps employees understand each other better and creates an opportunity for closer collaboration.<\/span><\/p>\n

Deploying machine translation\u00a0<\/span><\/h2>\n

The success of localization efforts that make use of machine translation hinges on how successful the deployment is across the business. Following inefficient workflows or mismatching a certain MT approach to the content type can lead to a failed initiative quickly, costing the business time and money.<\/span><\/p>\n

When it comes to deploying machine translation, there are several considerations to take into account:<\/span><\/p>\n