Professional
Neural Machine
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1.
Introduction to Neural Translation

Neural translation is the most advanced form of machine translation that uses deep learning technology and artificial intelligence to generate precise and smooth translations of texts. This article aims to briefly introduce neural translation, discuss its history and provide basic information about its functioning. In recent years, neural translation has gained popularity and become a key element of modern intercultural communication.

The history of neural translation dates back to the 1950s. In the 1960s, scientists began experimenting with the first machine translation models. At that time, however, translations were far from perfect and often generated texts that were difficult to understand. As technology progressed, researchers began to explore different machine translation methods, such as rule-based and statistical translation.

In 2014, a breakthrough occurred when Google researchers presented the first model of translation based on neural networks. The neural translation is based on deep learning technology, which allows computers to learn from big data analysis. Neural networks learn to recognize patterns and relationships between different elements of text, which allows them to generate translations of high quality and similar to human translations.

The functioning of neural translation can be compared to the work of the human brain. Neural networks comprise multiple layers, each analysing different aspects of the text. For example, one layer can analyze syntax, another can analyze semantics, and another can analyze context. Thanks to this structure, neural networks can understand the complexity of language better than other machine translation methods and generate more smooth and precise translations.

Neural translation has many advantages that make it increasingly popular in various fields. First, it allows you to translate texts faster than traditional methods, especially when time is key in business or scientific environments. In addition, neural translation can generate high-quality translations, enabling it to compete successfully with human translations. Finally, neural translation can continually learn and refine its skills, which means that as it analyzes more texts, its translation quality will improve.

Despite its advantages, neural translation still has some limitations. Machines often have difficulty understanding the context or language nuances, leading to translation errors. In such situations, it is necessary to cooperate with translators who can properly assess the context and meaning of the text.

Today, neural translation is used in many fields, such as medicine, law, science, business or tourism. They can also translate websites, mobile applications or even computer games. Wherever there is a need for precise and fast text translation, neural translation can be an effective tool.

At POZENA Multilingual, neural translation is an important element of the translation services offered. Thanks to cooperation with language and technology experts, POZENA Multilingual can provide its clients with translations of the highest quality. The translation process in the POZENA Multilingual includes both the use of neural translation technology and cooperation with translators by people who make sure that translations are accurate, understandable and tailored to the client's needs.

In conclusion, neural translation is an advanced technology that has gained popularity recently and has become a key element of modern intercultural communication. With its advantages of speed, precision and the ability to continuously learn, neural translation has the potential to become an even more important tool in the future, supporting global communication and collaboration in various areas of life.

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2.
The technology that enables neural translation

Neural translation is an advanced approach to machine translation that uses technologies related to artificial intelligence (AI) and machine learning (ML). In recent years, neural translation has gained recognition as one of the most effective machine translation methods. In this article, we will look at the technological foundations behind neural translation, such as neural networks, deep learning, and software used in the industry. 

Neural networks

Neural translation is a revolutionary approach to machine translation that is fundamentally rooted in the structure and functioning of the human brain. Artificial neural networks, which are the foundation of this technology, mimic the operation of the brain by having multiple layers of interconnected nodes. Each layer is responsible for processing specific aspects of information, such as syntax, vocabulary, and grammar.

Using training data, these networks learn to recognize patterns and relationships between words, progressively increasing their precision with each layer. This results in highly accurate translations that are almost indistinguishable from human translations. Neural translation is a powerful tool that has revolutionized the translation industry, enabling businesses to communicate with their customers in more languages and with greater ease.

Deep learning

Deep learning is a game-changer in the field of machine translation. Its deep neural networks and multiple processing layers allow algorithms to learn more efficiently and effectively, enabling them to solve complex problems like natural language translation. Unlike traditional machine learning methods, deep learning can discover and use hierarchical patterns found in data, making it a powerful tool for improving translation accuracy.

The beauty of deep learning lies in its ability to learn from large amounts of data, allowing it to identify patterns and relationships between words that would be impossible for a human translator to detect. It can then use this knowledge to produce highly accurate translations, even for complex sentences with multiple clauses and idiomatic expressions.

Another advantage of deep learning is its ability to adapt to different data types. Whether the input is a text, image, or sound, deep learning algorithms can be trained to recognize and interpret it with incredible accuracy. This makes it a versatile tool for various applications, from language translation to image recognition and speech synthesis.

Deep learning is a powerful technique for improving machine translation accuracy and efficiency. Its ability to learn from large amounts of data and discover hierarchical patterns in that data make it a valuable tool for businesses looking to communicate with customers in multiple languages. As technology evolves, we can expect even more impressive results from deep learning in machine translation.

Translation of sequence-to-sequence

The basic algorithm used in neural translation is the sequence-to-sequence (seq2seq) model. This model consists of two main components: an encoder and a decoder. The encoder analyzes and converts the input sentence into a numerical representation, which is then passed to the decoder. The decoder converts the numeric representation into an output sentence in the target language. This process uses techniques such as recursive neural networks (RNNs) or attention mechanisms that allow context and relationships between words in translation to be considered.

Tools & Software

In the neural translation industry, many tools and software facilitate the development of neural networks. The most popular are some of the below. 

• TensorFlow: Developed by Google, TensorFlow is a library of machine learning and deep learning software that offers flexible tools for building and implementing neural translation models.

• PyTorch: Created by Facebook AI Research, PyTorch is a machine learning framework especially popular with researchers. PyTorch allows you to experiment quickly with neural models thanks to dynamic gradient calculation and easy debugging.

• OpenNMT: OpenNMT is a neural translation toolkit that offers both a research version and a commercial solution. OpenNMT was developed by a scientific team associated with Harvard University.

• Marian NMT: Marian NMT is a framework developed by a research team affiliated with the University of Edinburgh, specialising in neural translation. It is optimized for performance and allows you to quickly deploy translation models across different hardware platforms.

Collaboration with people

Although neural translation is getting better and better results, there are many situations in which cooperation with human translators is indispensable. Translators help correct errors, understand the context and linguistic nuances, and adapt translations to field-specific requirements. Neural translation, on the other hand, can greatly improve the work of professional translators, speeding up the translation process and enabling them to focus on issues requiring specialist knowledge.

Neural translation technology relies on advanced algorithms, neural networks and deep learning to transform texts between different languages with increasing precision. With the development of software and industry tools, neural translation is becoming more accessible and effective. At the same time, cooperation with human translators allows for achieving even higher quality translations tailored to the requirements of individual fields.

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Neural translation can handle many different languages, including the less popular ones. Thanks to this, it is an excellent tool for working with texts in languages less often found in traditional translations. In addition, neural translation makes translating texts between different language pairs easy, making it extremely versatile.

Thanks to this, translations of POZENA Multilingual, including those in less popular language pairs, can be performed faster and more efficiently. However, we have been offering excellent translations in every language for 30 years, initially also without using neural technologies.

Complementing the translator's workshop

Neural translation can be a valuable asset to professional translators at POZENA Multilingual, providing them with cutting-edge tools to enhance their work. By working alongside translators, neural translation can improve the efficiency of the translation process, much like how any other top-notch tool in any industry can help professionals achieve optimal results.

Through neural translation, translators can streamline their work and focus on tasks that require human knowledge and expertise. This approach adds great value to the customer, as it allows translators to provide more nuanced and accurate translations while also saving them time and effort.

Furthermore, neural translation is constantly evolving, and as the technology improves, it will become even more effective in supporting professional translators. In the future, neural translation will likely be able to handle even more complex translations, allowing translators to take on even more challenging projects with ease.

By working with neural translation, professional translators at POZENA Multilingual can provide their clients with the best of both worlds - the benefits of cutting-edge technology and the expertise of skilled human translators. This approach ensures that clients receive translations that are accurate, nuanced, and tailored to their specific needs, setting them up for success in today's global market.

Accessibility and flexibility

Neural translation is available almost everywhere and at any time, which allows you to use translation services at a time and place convenient for the customer. It is extremely important for companies operating on the international market that need a fast and reliable source of translations - and it enjoys the great interest of our clients who implement projects "with the lights off", i.e. those integrated IT, completely autonomous or semi-automatic. 

Summary

Neural translation brings many benefits compared to traditional methods of translation used in isolation. The advantages of neural models are speed and scalability if not always quality and intelligence.

In many cases, a properly configured and managed neural model achieves a satisfactory customer quality level, making it an extremely attractive option. In addition, thanks to its ability to learn from mistakes, support multiple languages, and its availability and flexibility, the neural translation of POZENA Multilingual is becoming increasingly popular and necessary in today's global world.

In an age of globalization and growing international contacts, neural translation is becoming invaluable in many fields. This article will discuss the diverse applications of neural translation in areas such as medicine, law, science, and business.

Neural Translations for Medicine

One of the key areas in which neural translation plays an important role is medicine. Cooperation between doctors, scientists and specialists from different countries requires a precise and rapid translation of medical documentation, such as clinical trials, scientific publications, operating instructions for medical equipment or test reports. Thanks to its speed and increasingly better quality, Neural translation allows you to continuously adapt to new discoveries and terminology, thus supporting international cooperation in medicine.

However, it is necessary to remember the need for a professional translator to "post-edit" neural translation to minimize the risk of life and health hazards in machine translation. 

Neural Translations for Law

In law, the accuracy of translation is of utmost importance to protect customers' rights and maintain fairness. Legal documents such as contracts, regulations, acts, court rulings, and patent applications require precise translation to avoid misunderstandings or legal disputes. With the use of neural translation and the expertise of legal language specialists, legal documents can be translated rapidly and accurately, which plays a crucial role in international cases.

The combination of artificial intelligence and human knowledge guarantees that the translation is correct, culturally, and legally appropriate. This ensures that legal documents are understood by all parties involved, regardless of their language or background, and helps to foster international cooperation and justice. However, it is important to note that professional post-editing is necessary to ensure the accuracy and quality of neural translation, especially in law where the slightest error can have serious consequences.

Neural Translations for Science

Science is a global pursuit requiring international cooperation to make significant breakthroughs. Neural translation plays a critical role in facilitating this collaboration. With scientists from different countries sharing information, publishing articles, and attending scientific conferences, neural translation ensures that the language barrier is not a hindrance to progress. The use of neural translation, combined with human expertise, helps to accelerate the process of reviewing scientific articles and disseminating research results worldwide.

This contributes to the development of science and fosters international cooperation and understanding. Furthermore, using neural translation in scientific research allows scientists to leverage the expertise of their colleagues in other countries, making it easier to access and share knowledge. By enabling international scientific collaboration, neural translation is helping to push the boundaries of our understanding of the world around us.

Neural Translations for Business

Businesses increasingly engage in international trade and partnerships in today's globalised world. With this comes the need for effective communication between entrepreneurs from different countries. Neural translation has become essential in facilitating this communication, enabling businesses to translate documents such as contracts, financial statements, and marketing materials.

However, it is important to ensure the quality of neural translation by using a professional translator. This is especially crucial in business, where even a small error in translation can have serious consequences.

Neural translation is crucial during international fairs, conferences, and business meetings. Entrepreneurs from different countries must understand each other to establish cooperation and partnerships. With the help of neural translation, language barriers can be overcome, allowing for effective communication and collaboration.

In addition to facilitating communication, neural translation can help businesses expand their reach and market share. By adapting communication and content to different countries' linguistic, cultural, and legal specificities, businesses can better connect with international audiences and increase the popularity of their products and services.

Overall, neural translation is a valuable tool for businesses operating in a globalized world. By using it effectively and ensuring its quality, businesses can overcome language barriers, establish international partnerships, and expand their reach and market share.

Neural Translations for Travel and Tourism

In the tourism sector, neural translation is an indispensable tool for hotels, travel agencies, guides, and event organizers looking to reach international clients. With the help of neural translation, these businesses can quickly and accurately translate information materials, offers, and instructions to ensure that their services are accessible to customers worldwide.

One particularly interesting application of neural translation in the tourism industry is the translation of customer reviews. With the rise of online review platforms like TripAdvisor and Yelp, hundreds of thousands of personal customer reviews are posted online daily. These reviews are a valuable resource for businesses looking to improve their services and attract new customers. However, the sheer volume of reviews makes it impractical to translate them all manually.

Fortunately, neural translation offers a solution. Thanks to its speed and accuracy, neural translation makes it possible to translate large volumes of reviews quickly and efficiently. Moreover, because reviews are usually written more informally than other types of tourism materials, they often require less post-editing by a professional translator.

Overall, neural translation is a game-changer for the tourism industry, allowing businesses to reach a global audience and communicate with customers worldwide. Whether translating hotel descriptions, tour itineraries, or customer reviews, neural translation is an invaluable tool for anyone looking to succeed in the competitive world of tourism and hospitality.

Neural Translations for Information Technology

In the rapidly evolving world of technology and computer science, neural translation has become an indispensable tool for programmers, engineers, and IT specialists from all corners of the globe. Whether it's software development, technical documentation, or device manuals, the use of neural translation allows for quick and effective communication between professionals, leading to the advancement of technology.

With the help of neural translation, these professionals can easily exchange knowledge and experience, regardless of their native language. This has become increasingly important as the technology sector has become more globalized, with international collaborations and partnerships becoming more common.

However, it's important to note that while neural translation can be a powerful tool, it's crucial to have professional post-editing to minimize the risk of critical errors. With the potential consequences of even the smallest errors in software or technical documentation, it's essential to ensure that all translations are accurate and of the highest quality.

Overall, neural translation is a valuable asset in technology and computer science, enabling professionals to communicate and collaborate more effectively and pushing the boundaries of what's possible in the field.

Neural Translations for Gaming and Entertainment

Neural translation has revolutionized the computer games and entertainment industries, where content localization is essential for global success. With neural translation, game developers, film studios, and TV series producers can quickly and accurately adapt their products to meet different countries' linguistic, cultural, and legal requirements. This ensures that these products are accessible and enjoyable to audiences worldwide, regardless of language or cultural background.

Using neural translation, computer games and entertainment products can be marketed effectively in different regions, increasing their reach and popularity. Moreover, neural translation can help to avoid cultural misunderstandings or legal issues that may arise when products are not localized properly.

For example, when a game developer wants to launch a new game in Japan, neural translation can help to ensure the game's success by carefully adapting the game's storyline, characters, and dialogues to the local language and culture. Similarly, in the entertainment industry, neural translation can help to create subtitles or dubbed versions of movies and TV series, allowing audiences to enjoy their favourite shows in their native language.

Overall, neural translation is essential for computer games and entertainment companies looking to succeed in the global market. With its ability to accurately and efficiently adapt content to different regions, neural translation is helping to break down language barriers and connect people from all over the world through entertainment.

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How does POZENA Multilingual protect the data of its customers? In today's world, more and more information is processed and stored digitally, raising questions about data security and privacy. Neural translation, as a technology-based service, must also meet these challenges. 

Data encryption

The first step in protecting customer privacy is to take appropriate technical measures. POZENA Multilingual uses advanced encryption of data transferred between neural models. Our agreements contain provisions prohibiting providers from storing temporarily entrusted content and using it for purposes other than commercial translation cooperation. 

Privacy Policy and Compliance

POZENA Multilingual has a clearly defined privacy policy that informs customers about how their data is collected, processed and stored. The company also complies with data protection laws, such as the General Data Protection Regulation (GDPR), which ensures customers are confident that their information is processed lawfully.

Deleting data at the end of the project

One of the key elements of privacy protection is the ability to delete data after the end of the project. Neural models used by POZENA Multilingual use a data retention policy that prohibits them from storing them. At the end of the neural translation service, unless we provide deliberately different instructions for important reasons, the client data on the neural model side are deleted immediately. This allows customers to ensure their data will not be used inappropriately.

Cooperation with trusted entities

POZENA Multilingual cooperates only with trusted partners and providers of neural modelling services, who also attach great importance to data security and privacy. The Centre shall consider its data protection policy and information security practices when selecting partners. The relevant provisions in our contracts oblige suppliers to delete data immediately after use. 

We only work with suppliers of neural models from stable democratic countries with good reputations.

Team training

Employees of POZENA Multilingual regularly receive information in the field of data security and privacy. As a result, they know the risks and the best practices that allow them to adequately protect the information entrusted by customers.

Promoting a safety culture

An important element of care for data security and privacy in neural translation is promoting a culture of security among customers, partners and employees. POZENA Multilingual regularly informs about issues related to data protection and encourages the use of best practices in everyday work, including actively warning individuals about using unlicensed neural models available to the public. 

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Communication between countries and enterprises has become increasingly common in today's globalised world. With the rise of technology, there are now numerous ways to translate text, but not all methods guarantee the same level of quality and efficiency. That's why we're here to compare the neural translation with other common translation methods, such as statistical translation or translation by natural persons, to help you make an informed decision.

Neural translation, also known as NMT, is a machine learning method that uses artificial neural networks to translate text from one language to another. It is known for its speed, precision, and ability to continuously improve the quality of translations. Unlike other machine translation methods, neural translation has a better understanding of context and language nuances, making it a preferred option for translating similar languages.

On the other hand, human translation involves the work of a professional translator who has an in-depth understanding of both languages. Translators can be experts in their field and have a strong knowledge of culture and context, allowing them to create high-quality translations. However, human translation can be time-consuming, expensive, and is prone to errors resulting from the translator's subjectivity.

Comparing these two translation methods shows that each has its advantages and disadvantages. Neural translation offers speed, precision, and continuous improvement, but it can make mistakes due to a lack of understanding of context or language nuances. Human translation provides a better understanding of context and culture but can be time-consuming, costly, and prone to errors resulting from the translator's subjectivity.

Choosing the right translation method depends on your specific needs and requirements. POZENA Multilingual offers four variants of the translation product, selecting several dozen elements constituting each project. In most cases, each project involves a human expert or more than one. Our translators are empowered by technology, where neural translation can be an element, to provide a perfect combination of speed and quality. Trust us to provide you with the best translation services that meet your needs.

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Nowadays, neural translation is becoming more and more popular and effective, and its role in various areas of life and business is constantly growing. One of the key aspects of this growing popularity is the ability to integrate neural translation with other technologies such as artificial intelligence, chatbots and content management systems. Let's see how the neural translation of POZENA Multilingual can work with other technologies and the benefits of such integration.

Neural Translation for Artificial Intelligence

Artificial Intelligence (AI) is a vast field that encompasses a range of technologies designed to mimic human intelligence and the ability to learn. Neural translation is one of the key components of AI systems that enables them to understand and process natural language.

By integrating neural translation with other AI technologies like sentiment analysis, speech recognition, and text generation, we can create advanced communication and data analysis systems that can process vast amounts of information and respond to user queries in a more personalized and efficient manner. This integration can help businesses better understand and serve their customers, automate complex processes, and improve decision-making through data analysis.

As AI continues to evolve, integrating neural translation with other AI technologies is expected to drive innovation and develop more advanced and sophisticated systems that can better serve the needs of different industries and users worldwide.

Neural Translation for Chatbots

Chatbots have revolutionized customer service and support, providing users an immediate and personalized experience. With the integration of neural translation, chatbots can now converse with customers in multiple languages, making them accessible to a wider audience. This not only increases their usability but also improves customer satisfaction.

Neural translation enables chatbots to understand the context and nuances of different languages, resulting in more advanced and natural interactions with users. This means that chatbots can provide a more conversational and human-like experience, making it easier for users to engage with brands and businesses. With the help of neural translation, chatbots are becoming more intelligent and responsive, creating a seamless and efficient communication experience for users worldwide.

Neural Translation for Content Management Systems (CMS) - Website Localization

Content management systems are tools used by companies and organizations to create, edit, publish and manage content on websites. Integrating neural translation with CMS can facilitate the creation of multilingual websites by automating the translation of content into different languages. In addition, thanks to neural translation, CMS systems can offer more personalized and contextualized translation, allowing you to create more attractive and effective content.

POZENA Multilingual has been competently translating the content of websites for almost 30 years. Current technology offers increasingly fascinating opportunities, which we will happily discuss while analysing a specific project. It should be noted that several dozen CMS brands on the market have different functionality in handling multilingual content. 

>> Sounds interesting? Read more here about Website Translation 

Neural Translation for E-learning Content

E-learning is a form of education that uses Internet technologies for distance learning. Integrating neural translation with e-learning platforms can positively affect the availability and quality of educational materials for participants from different countries and language areas.

Thanks to neural translation, content can be quickly and effectively translated into different languages, which increases the reach and educational capabilities of e-learning platforms. In addition, neural translation can help create personalized learning pathways that consider participants' needs and language preferences.

POZENA Multilingual competently translates the multimedia content of e-learning courses.

>> More about the localization of e-learning content

Neural Translation for Virtual Assistants

Virtual assistants, such as Siri, Alexa and Google Assistant, have become an integral part of our daily lives, helping us with various tasks ranging from playing music to controlling the temperature in our homes. However, their utility is limited by the language barrier, as they can only understand and respond in a limited number of languages.

By integrating neural translation with virtual assistants, they can break down this language barrier and better understand and handle commands issued in different languages. This opens up a new world of possibilities for virtual assistants, making them even more useful and versatile for many users. With neural translation, virtual assistants can translate content into other languages in real-time, allowing users to communicate with them in their native language.

This integration can also help businesses expand their reach and better serve customers worldwide. Virtual assistants can now assist customers in their preferred language, making them feel more valued and enhancing their overall experience.

As virtual assistants continue to evolve, their integration with neural translation is expected to lead to even more advanced and sophisticated systems that can better serve the needs of a global and multilingual society. POZENA Multilingual can help businesses take advantage of this integration, ensuring high-quality and accurate translations that meet the needs of their customers.

Video and transcripts

Integrating neural translation with video and audio processing technologies opens up a whole new world of opportunities for the automation of transcription and translation of audiovisual materials. POZENA Multilingual can use neural translation to generate subtitles and translations for films, presentations, or lectures, making them accessible to a wider audience and facilitating their distribution on international markets.

With the help of neural translation, audiovisual materials can be quickly and effectively translated into different languages, increasing their availability for people who do not know the original language. This means that international audiences can enjoy content in their native language, leading to increased engagement and a broader reach for businesses and organizations.

Moreover, neural translation can also help create more accurate and culturally appropriate translations, considering the nuances of different languages and the context of audiovisual materials. This ensures that the translations are of high quality, essential for businesses and organizations seeking to expand their global reach.

In summary, integrating neural translation with video and audio processing technologies is a game-changer for translating and distributing audiovisual materials. With the help of POZENA Multilingual, businesses and organizations can take advantage of this integration to create high-quality, accurate translations that meet the needs of their global audience.

>>Read more about POZENA's comprehensive Audiovisual Translation services. 

In Summary

The integration of neural translation with other technologies opens up many new opportunities and benefits for different areas of life and business in the form of advanced, effective and available today solutions that reach a wide range of recipients around the world.

The neural translation is a key element of such an automated system, responsible for processing natural language within a larger system, contributing to their further development and innovation.

In the era of the growing importance of technology in everyday life, neural translation is gaining popularity. Its efficiency and precision make it increasingly complementary and supportive of traditional translation methods. How is the quality of neural translation assessed and what metrics, tools and processes are used in this field?

What is the quality of neural translation?

The quality of neural translation can be defined as the degree to which machine translation reflects the meaning of the source text in the target text while maintaining grammatical, lexical, stylistic and semantic correctness. The quality of neural translation depends on many factors, such as the precision of the neural model, understanding the context or the ability to convey language nuances.

Metrics and assessments of the quality of neural translation

There are many metrics for assessing the quality of neural translation; none are perfect. Here are some of the most popular.

• BLEU (Bilingual Evaluation Understudy) – a metric comparing machine translation with a reference translation (or several reference translations) made by a human translator. BLEU assesses the similarity between the translations in terms of the words, phrases and grammar used.

• TER (Translation Edit Rate) – a metric based on the number of edits (adding, deleting, replacing words) necessary to bring machine translation to the level of reference translation.

• METEOR (Metric for Evaluation of Translation with Explicit ORdering) – a metric that considers both precision, i.e. the ratio of correct words in machine translation to all words, and completeness, i.e. the ratio of correct words in machine translation to all words in the source text.

Neural translation quality assessment tools

In addition to the quality assessment metrics, many tools allow you to automate the process of evaluating machine translations. Here are some of them.

OpenKiwi – a machine learning tool that allows you to assess the quality of machine translation at the level of words or phrases. OpenKiwi allows you to train your own quality assessment models, useful in specialized fields or languages.

T2T (Tensor2Tensor) – a machine learning framework created by Google that allows you to assess machine translation quality using various metrics, such as BLEU, TER or METEOR.

Neural translation quality assessment process

Neural translation quality assessment is a process that consists of several stages. Here are the most important of them.

Reference translation – to assess the quality of a machine translation, a reference translation is needed, i.e. a translation made by a professional human translator. The reference translation serves as a benchmark for quality assessment metrics and tools.

Automatic evaluation – using selected metrics and tools, machine translation is evaluated in precision, fullness, grammar or style. As a result of the automatic evaluation, numerical values are obtained that reflect the quality of the machine translation.

Expert assessment – because no metric or tool is perfect, expert assessment, i.e. the assessment of machine translation by professional translators or linguists, is essential. Experts evaluate machine translation in terms of understanding the context and transmitting language nuances or specialist terminology.

Analysis of the results – based on the automatic and expert evaluation results, it is possible to draw conclusions about the quality of neural translation, identify areas for improvement and adapt the neural model to specific needs.

Challenges in assessing the quality of neural translation

Neural translation quality assessment is a complicated process, and the performance of metrics or tools does not always reflect the actual quality of the translation. Here are some challenges you may encounter when evaluating the quality of neural translation.

• The subjectivity of assessment – the quality of the translation is often subjective and different translators may have different opinions about what is correct or better. Therefore, the expert evaluation must be based on common criteria and guidelines.

• The diversity of languages – it may be more difficult to assess the quality of neural translation for less widely used or complex grammatical structures. In such cases, there are fewer reference translations, which makes it difficult to assess the quality.

• The context and nuances – quality assessment metrics often cannot fully consider the context or language nuances. Therefore, expert evaluation is necessary to assess whether the neural translation is adequate and understandable.

• The specialized terminology – assessing the quality of neural translation can be particularly difficult in the case of specialized texts, where terminology and expressions are unique to a given field. In such cases, experts in the field may be needed to evaluate the machine translation.

Improving the quality of neural translators

Evaluating the quality of neural translation is not just a means of diagnosis but also a way of enhancing the performance of neural models. Here are some strategies to improve the quality of neural translation.

Fine-tuning the model - adapting the neural model to specific needs by further training it on source and reference texts in a given field or language.

Collaborating with experts - consulting with translators or linguists can help understand problems related to context, nuances, or specialist terminology and implement appropriate adjustments in the neural model.

Integrating with other technologies - combining neural translation with other technologies, such as artificial intelligence, natural language processing (NLP), or unsupervised learning, can lead to better machine translation results.

In summary

Assessing the quality of neural translation is an integral part of the machine translation process. By utilizing appropriate metrics, tools, and evaluation processes, it is possible to diagnose the quality of the neural translation and improve the neural models for even better results. Challenges related to quality assessment, such as subjectivity, language diversity, context, and specialist terminology, require both automatic and expert evaluation. Regular quality assessments and collaboration with experts from various fields are essential to provide high-quality machine translation that meets customer expectations and supports their international business goals. As a result, companies offering neural translation, such as POZENA Multilingual, can efficiently and accurately meet their clients' needs.