Translation is the process of converting written or spoken content from one language to another while preserving its meaning. By automating and improving the translation process, artificial intelligence (AI) has significantly contributed to changing the translation industry.
To evaluate and understand the structure, syntax and context of the source language and produce correct translations in the target language, AI-powered translation systems use machine learning algorithms and natural language processing techniques.
Types of translation systems based on artificial intelligence
AI-based translation systems can be classified into two main approaches:
Rule-Based Machine Translation (RBMT)
To translate text, RBMT systems use dictionaries and pre-established linguistic rules. Linguists and other experts create these guidelines and dictionaries that specify how to translate words, sentences and grammatical structures.
While RBMT systems are capable of producing accurate translations for some language pairs, they often encounter limitations due to the complexity and diversity of language systems, making them less useful for more complex translations.
Statistical Machine Translation (SMT)
SMT systems employ statistical models that have been developed using sizable bilingual corpora. These algorithms analyze words and phrases in the source and target languages to find patterns and correlations.
SMT systems are capable of making educated guesses about the ideal translation for a particular input by examining huge volumes of data. With more training data, SMT systems become more accurate, even though they might have problems with unusual or rare sentences.
Neural machine translation (NMT) has recently become more well known in the translation industry. To produce translations, NMT systems use deep learning methods, especially neural networks. Compared to previous methods, these models are better able to represent the context, semantics, and complexities of languages. NMT systems have been proven to perform better than other technologies and are widely used in many popular translation services and applications.
Benefits of artificial intelligence in translation
The use of artificial intelligence in translation offers several advantages:
- Speed and Efficiency: AI-powered translation systems can process large volumes of text quickly, speeding up the translation process and improving productivity.
- Consistency: AI ensures consistent translations by adhering to predefined rules and learned patterns, reducing errors and discrepancies.
- Personalization and adaptability: AI models can be tuned and customized for specific domains, terminologies or writing styles, resulting in more accurate and contextually appropriate translations.
- Continuous improvement: AI systems can learn from user feedback and update their translation models over time, gradually improving translation quality.
AI tools for translation
There are several translation AI tools available that leverage machine learning and natural language processing techniques. Here are five popular AI tools for translation:
Google Translate is a widely used AI-powered translation tool. To offer translations for different language pairs, it combines rules-based and neural machine translation models. It offers features for text translation, website translation, and even text to speech and text to speech.
Google Translate offers both free and paid versions. Basic translation services, including text translation, website translation, and basic text-to-speech capabilities, are accessible to users free of charge. However, Google also offers a paid service called the Google Translate API for developers and businesses with more extensive translation needs. Use of the API is subject to pricing based on the number of characters translated.
Another capable AI translation tool is Microsoft Translator. It offers translation services for many different languages and uses neural machine translation models. It offers developers APIs and SDKs so they can incorporate translation capabilities into their projects.
Microsoft Translator offers a tiered pricing model. It has a free tier which allows users to access basic translation services with some limitations. Microsoft also provides paid plans for higher volumes and advanced features. Pricing is typically based on the number of characters translated or the number of API requests made.
DeepL is an AI-powered translation tool known for its high-quality translations. It uses neural machine translation models and claims to outperform other popular translation tools in terms of accuracy. DeepL supports multiple language pairs and offers a user-friendly interface.
DeepL offers both free and paid versions. The free version of DeepL allows users to access its translation services with certain usage restrictions. DeepL also offers a subscription-based premium plan called DeepL Pro, which offers additional benefits, such as faster translation speeds, unlimited usage, and the ability to integrate the service into other applications.
Systran is a language technology company that provides AI-powered translation solutions. It offers a range of products and services, including neural machine translation engines, translation APIs, and specialized industry solutions. Systran focuses on customization and domain specific translations.
Pricing for Systrans offerings are typically based on specific requirements and the level of customization desired by the customer.
RWS is a global leader in translation and localization services and provides various language technology solutions to support translation and multilingual content management.
One of its language technology offerings is Trados Enterprise (formerly RWS Language Cloud). This cloud-based platform is designed to streamline the translation process, enhance collaboration, and improve translation quality. It provides a range of features and tools to manage translation projects, such as translation memory, terminology management, project management and linguistic resources.
Trados Enterprise offers different versions tailored to specific needs. The Studio version is priced at $125/month and provides an industry-leading computer-assisted translation (CAT) tool for professional linguists. The Team version, priced at $185 per user per month, focuses on cloud-based collaboration for translation projects.
The Accelerate version starts at $365 per user per month and offers end-to-end translation management for organizations with custom requirements. RWS also offers a free trial for interested users and encourages potential customers to request a demo to explore their offerings in detail.