Common Translation Problems and How to Solve Them

The most common translation problems stem from structural language differences, idioms, cultural references, and words with multiple meanings.

Grammar and word order vary dramatically between languages, English follows subject-verb-object order while Farsi uses subject-object-verb, forcing translators to rearrange entire sentences to sound natural. Idiomatic expressions like "kick the bucket" cannot be translated literally and require deep cultural knowledge to convey equivalent meaning.

Compound words, two-word verbs, and terms with no direct equivalent in other languages create additional challenges. Even expert linguists must balance linguistic precision with cultural adaptation to preserve both meaning and tone across languages.

Key takeaways:

• Translation problems often stem from differences in language structure, idioms, and cultural references.
• Grammar, tone, and meaning rarely align perfectly between languages.
• Some translation issues can be reduced through clear source text and consistent style guides.
• Machine translation struggles most with idioms, sarcasm, and context-dependent phrases.
• Skilled translators use linguistic expertise and cultural knowledge to solve these challenges effectively.
  
  

Translation problems with language structure

Every language follows its own rules and word order, which can cause translation issues when switching between systems.

In English, a sentence typically follows a subject-verb-object structure: “She eats pizza.” But Farsi uses subject-object-verb, and in Arabic, subject pronouns are built into the verb itself. Translators must often rearrange, add, or remove words to keep sentences natural in the target language. These structural differences are one of the most common translation problems professionals encounter.

Translation issues with idioms and expressions

Idioms are among the hardest elements to translate. Their meanings can’t be understood literally, which makes them a constant source of translation problems.

Phrases like “kick the bucket” or “piece of cake” don’t make sense outside their cultural context. Machine translation engines often fail to handle them correctly, and even human translators need deep cultural fluency to find equivalent expressions. To avoid these translation issues, source content should use idioms sparingly, or translators should be chosen for their familiarity with the target culture.

Translation problems with compound words

Compound words—two or more words combined into one meaning—can lead to subtle translation issues.

Some compounds, like “airport” or “crosswalk,” translate easily. Others, like “bookworm,” blend literal and figurative meanings. And then there are words such as “deadline” or “butterfly,” whose meanings have nothing to do with the original components. Translators must recognize when a compound word is logical, semi-literal, or purely idiomatic to avoid confusion and preserve meaning.

Translation issues caused by missing words or names

Not every language has an exact match for every concept. This gap often creates translation problems known as lexical gaps.

 For example, English uses the two-word phrase "guest room," Greek uses a single word, ξενώνας (xenónas), which can mean a guest room or a guesthouse, and Italian needs three words: "camera per gli ospiti."

These differences show how translation often requires localization—adapting expressions, not just translating words—to keep meaning intact.

For more on how localization connects culture and context, check out Smartling’s article on how to develop a localization strategy.

Translation problems with two-word verbs

English is full of two-word verbs like “look up,” “fill out,” and “break down.” Each carries a unique meaning that doesn’t come from its parts alone.

Translators need to interpret the full phrase rather than translate each word separately. Otherwise, the result may sound unnatural or confusing in the target language. This is another everyday translation issue that highlights the importance of context over literal accuracy.

Translation issues with multiple meanings

Words with multiple meanings create some of the trickiest translation problems.

A single term can have different definitions depending on how it’s used. Homonyms like “scale” (to weigh vs. to climb) and heteronyms like “windy” (the road vs. the day) illustrate how pronunciation and meaning shift. Translators must rely on context to determine which sense is correct and ensure the target language reflects it accurately.

Maintaining tone and consistency across translations

Keeping a consistent brand tone across languages is one of the most challenging translation problems for global companies.

Localization style guides and glossaries help maintain the same tone, terminology, and voice in every language. These resources ensure that translators and translation software preserve brand identity, regardless of region or language.

Smartling’s free localization style guide template provides you with step-by-step instructions on creating your style guide to help you maintain consistency across any language. 

Translation problems with sarcasm

Sarcasm rarely translates cleanly. Its meaning depends heavily on tone and context, which can easily be lost or misinterpreted.

Literal translation often turns sarcasm into confusion or even offense. Ideally, sarcasm should be removed before translation. But if it’s essential to the text, translators should be briefed so they can suggest a local equivalent that conveys the same humor or tone.

How does machine translation handle these problems? 

Machine translation handles structural problems, such as word order and grammar, well, but it still struggles with idioms, sarcasm, and words that change meaning with context. Research on neural machine translation shows that models tend to translate idioms word for word, which can turn a figurative phrase into nonsense (Baziotis, Mathur, and Hasler, EACL 2023).

Large language models use more context and often do better with idioms, but their output still varies by language pair and topic.

For businesses, this means machine translation is a fast first draft for most content, while customer-facing and brand-sensitive text needs review by a native-speaking linguist. A translation management system (TMS) such as Smartling combines both: machine translation for speed, glossaries and style guides for consistency, and human review where meaning and tone matter most.

Reagan White

Localization Expert

Reagan White is a localization expert with experience helping global brands streamline translation workflows and scale multilingual content. With a background in translation technology and international content strategy, she writes about localization automation, AI translation, and best practices for building efficient global operations.