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 greatly contributed to the transformation of the translation industry.
To analyze 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 data processing techniques. natural language.
Types of AI-powered translation systems
AI-powered translation systems can be categorized into two main approaches:
Rule-based machine translation (RBMT)
To translate text, RBMT systems use dictionaries and pre-established language rules. Linguists and other experts create these guides and dictionaries that specify how to interpret words, phrases and grammatical structures.
While RBMT systems are able to produce accurate translations for some language pairs, they often face limitations due to the complexity and diversity of linguistic systems, making them less useful. for translations that are more complex.
Statistical machine translation (SMT)
SMT systems use statistical models developed using large bilingual corpora. These algorithms analyze words and phrases in the source and target languages to find patterns and correlations.
SMT systems are able to make educated guesses about the ideal rendering for a particular input by examining large volumes of data. With more training data, SMT systems can become more accurate, even if they have trouble with unusual or unique phrases.
Neural machine translation (NMT) has recently become more popular in the translation industry. To make 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 complexity of languages. NMT systems have proven to be better than other technologies, and they are widely used by many well-known translation services and applications.
Advantages of AI in translation
Using AI 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 following predefined rules and learned patterns, reducing errors and discrepancies.
- Customization and adaptation: AI models can be fine-tuned and customized for specific domains, terminology or writing styles, resulting in more accurate and contextually accurate translations.
- Continuous improvement: AI systems learn from user feedback and update their translation models over time, gradually improving translation quality.
AI tools for translation
There are many AI tools available for translation that take advantage of machine learning and natural language processing techniques. Here are five popular AI tools for translation:
Google Translate
Google Translate is a widely used AI-powered translation tool. To offer translations for different language pairs, it combines rule-based translation models and neural machines. It offers tools for text translation, website translation and even speech-to-text and text-to-speech.
Google Translate offers free and paid versions. Basic translation services, including text translation, website translation and basic speech-to-text features, are available to users for free. However, Google also offers a paid service called the Google Translate API for developers and businesses with more extensive translation needs. API usage is subject to pricing based on the number of characters rendered.
Microsoft Translator
Another capable AI translation tool is Microsoft Translator. It offers translation services for many different languages and uses neural machine translation models. It offers APIs and SDKs to developers so they can incorporate rendering into their projects.
Microsoft Translator offers a tiered pricing model. It has a free level that allows users to access basic translation services with some limitations. Microsoft also provides paid plans for higher volume and advanced features. The price is usually based on the number of characters translated or the number of API requests made.
DepthL
DeepL is an AI-driven translation tool known for its high-quality translations. It uses neural machine translation models and is claimed to be superior to other popular translation tools in terms of accuracy. DeepL supports many 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 premium subscription-based plan called DeepL Pro, which provides additional benefits, such as faster translation speeds, unlimited usage and the ability to integrate the service with other application.
System
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 translation.
Pricing for Systran’s offerings is generally based on the specific requirements and level of customization desired by the client.
Trados Enterprise
RWS is a global leader in translation and localization services, and it provides a range of language technology solutions to support the translation and management of multilingual content.
One of its language technology offerings is Trados Enterprise (formerly RWS Language Cloud). This cloud-based platform is designed to streamline the translation process, improve collaboration and improve translation quality. It provides a variety of features and tools to manage translation projects, such as translation memory, terminology management, project management and linguistic properties.
Trados Enterprise offers different versions tailored to specific needs. The Studio version is priced at $125 per 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 provides a free trial for interested users and encourages potential customers to request a demo to explore their offerings in detail.
