AI translation tools are now remarkably good, but Finnish and English differ in fundamental ways. As a result, AI-generated translations are often technically correct – but still not fully natural in English.
Below are some common challenges that arise when translating from Finnish to English.
One Finnish word, many English translations
Finnish and English words do not always align neatly. A single Finnish word may have several possible English equivalents depending on the context. For example, asiointi might refer to customer interactions, using online services or visiting a bank branch, while hoitaa can mean process, manage or treat, and toteuttaa may be translated as carry out, execute or implement.
In some cases, there is no direct equivalent at all. Concepts such as lomaraha and talkoot often require several words – or even a short explanation – to convey their meaning accurately. While lomaraha refers to a payment linked to annual leave, talkoot describes a communal volunteer effort organised for the benefit of a community or housing company.
AI may choose a literal translation, such as ‘holiday pay’ for lomaraha, or an English equivalent for talkoot that captures only part of the concept. Translating such concepts requires not only linguistic knowledge but also an understanding of the cultural, institutional and audience context.
These concepts can be difficult even for human translators and also pose a challenge for automated translation systems, because the correct translation depends on interpreting the context rather than simply finding an equivalent word.
Figurative language in financial Finnish
Finnish often uses vivid and figurative language to describe movements in the economy and financial markets. While these expressions sound perfectly natural in Finnish, translating them literally can produce English that is unintentionally amusing.
For example, AI has translated talous piristyi as ‘the economy cheered up’ and hinnat niiasivat as ‘prices curtsied’. A professional translator would instead write ‘the economy picked up’ and ‘prices fell’ or ‘declined’, as these are the expressions used in English-language financial writing.
These examples show that translation is not simply a process of replacing words in one language with words in another. It requires conveying meaning, and AI systems can sometimes preserve literal wording while missing the intended sense of an expression.
When AI struggles with grammar
Unlike English, Finnish has no definite or indefinite articles such as ‘a’, ‘an’ and ‘the’. Instead, meaning is expressed through word order, context and case endings. AI systems therefore need to determine whether an article is required in English and, if so, which one to use. The results are not always accurate.
Finnish also lacks gendered pronouns, and hän is used for both ‘he’ and ‘she’. When translating hän, AI systems must infer the correct pronoun in English and may occasionally switch between ‘he’ and ‘she’ when referring to the same person. A human translator can usually resolve this from context, or, if necessary, clarify with the client.
The passive voice is also more common in Finnish than in English. As a result, AI systems often reproduce Finnish passive structures too closely, producing translations that can feel overly formal, heavy or less natural in English.
Correct English that doesn’t sound quite right
One of the most subtle challenges in Finnish-English translation is that AI output can be grammatically correct, accurate and easy to understand, yet still not sound entirely natural in English.
Finnish often expresses actions through noun phrases, whereas English frequently prefers a verb. For example, antaa suositus is more naturally translated as ‘recommend’ rather than ‘give a recommendation’, tehdä arvio as ‘assess’ rather than ‘make an assessment’ and suorittaa analyysi as analyse instead of ‘conduct an analysis’. While AI often suggests the longer alternatives, professional English writing typically prefers the more direct verb.
These differences do not affect meaning, but they do affect style. AI tends to stay close to the structure of the source text, whereas a human translator will choose phrasing that sounds natural to an English-language reader. As a result, AI-generated translations can sometimes read like translations rather than text originally written in English.
Why human editing still matters
AI translation tools have become highly capable and are often able to produce fluent, grammatically correct English from Finnish text. In many cases, they provide a useful and efficient first draft.
However, as the examples in this article show, Finnish and English differ in several important ways. A single Finnish word may require multiple English words, expressions cannot always be translated literally, and grammatical structures such as articles, pronouns and passive forms do not always map neatly between the two languages. Even when individual sentences are accurate, the resulting English may still sound overly literal or unnatural.
Ultimately, translation is not only about converting words from one language to another, but about interpreting meaning and expressing it in a way that feels natural in the target language. AI systems are increasingly good at the first part of this task, but the second still requires linguistic judgement and cultural sensitivity that automated tools cannot always replicate.
For this reason, AI works best as a tool to support professional translation rather than replace it. Used as a starting point and followed by careful human editing, it can help produce English that is not only accurate, but also natural, clear and idiomatic.