With advances in technology, it is impossible to ignore the advances in Machine Translation or MT. With the power of user contributions and neural engines, machine translation is improving, albeit at a plodding pace. It still is not at a level of a human linguist, but with the proper attention and monitoring, it may get there one day.
It is interesting to note all the times we in the translation industry have heard, “Machine translation will make your job obsolete.” While that may be the case (very far) down the road, the quality of machine translation cannot match the quality of a good human translator. In this post, we will examine some of the pros and cons of machine translation, as well as some alternatives that might be better options.
Machine translation can be great for getting the gist or a general understanding of a file. It won’t sound natural to a native speaker, but they will be able to glean the meaning. It will be at or below roughly a 3rd-grade reading level. It will sound clunky and disjointed. There will likely be some terminology mismatches or incorrect translation of specific terms for a given context.
Is this document applicable?
Here is a good use case for MT that we have seen quite often. A company will receive a rather large document in a language that they do not understand. They don’t have the budget to translate with a human editor, and they want to know if the document applies to their business. An excellent example of this would be if an American firm received an RFP in Dutch. They would have no idea what it says but would need to know if they should respond to the RFP. In that case, an MT pass could be a good start to see if the RFP applies to their business. If so, then they can identify the critical sections, and do a human translation pass of that content.
MT is the most cost-effective solution on the market. In some cases, it is free, and in other cases, it costs very little. Quite simply, it is the cheapest solution on the market. We’ll dive more into this in the cons section.
MT can happen at the snap of a finger. It can be output very quickly and requires little to no QA. This process is, of course, referring to pure machine translation with no editing pass.
As mentioned above, the cost can be an advantage, but it can also be a negative factor. There needs to be a reasonable expectation of quality on a free/cheap option. There are not many services that are both high quality and offered for free. I like to use the analogy of the car market in the US. There are luxury cars (translator and independent editor), economy cars (translator only), and go-karts (machine translation). All are cars/locomotives, but not all accomplish the same thing. I use this analogy in terms of levels of service in translation projects (in parenthesis by each option above). There is a reasonable expectation that a luxury car will outperform a go-kart.
Similar to the car analogy, if something is completed very quickly, there is generally a reasonable expectation that it will not be of high quality. There are exceptions, of course, but it stands to reason that quality work takes more time, care, and attention.
One area where machine translation struggles is with context. The MT process can take the same term, when it appears in different sections of a document, and translate that term differently. On the contrary, a human translator and editor are employed to ensure that terminology is consistent throughout a project. This attribute is crucial, so you do not confuse your reader when referring to the same thing.
Can’t use the result for customer-facing materials
Our suggestion is to never use Machine translation for anything that is customer-facing. We have a story of a client using MT to save a few bucks on the front end of their project. They used MT on a package for a product sold in a major retailer. The customer received negative feedback from the retailer. The translations were of low quality, and multiple customers complained. As a result, they had to recall $50,000 worth of merchandise. The product had to be translated by humans and repackaged. The cost to have the content correctly translated upfront would be nothing compared to the price of the recalled products.
Language is subjective
Another area where MT struggles is with subjective language. There are so many things that are difficult to translate, like idioms, plays on words, and expressions that have no direct equivalent. Running those types of content through an MT engine would produce laughable results.
One thing that a buyer of MT may not consider is the condition of the source file. If there is complex formatting, and breaks and hard returns, that will pose a serious issue for MT. It will segment text in the middle of sentences, which would make the MT have no context.
An alternative to pure MT would be to have a linguist edit the results of a translation. However, there are some things of which to be aware. Some linguists refuse to edit MT simply because of the typically poor quality. If they do edit MT, there is always the chance for fatigue, and the results will be “good enough” rather than good.
This approach is the best alternative, in my opinion. It comes in at roughly the same cost as MT with Post-Editing, and the linguist has the freedom to translate as they please, and the quality will be higher than MT with Post-Editing. This approach relies on a professional translator and is the best alternative to MT.
There are times when MT can be a suitable option; however, beware of the price you pay and have reasonable quality expectations with the price. If you are shopping providers, be sure to know what you are paying for, and what level of service you are receiving. Contact us today and we’ll be happy to give you an honest appraisal on what solution would work best for your project.
Patrick joined the Argo team in 2016 after graduating from the University of Illinois Urbana-Champaign with a BA in Spanish and a business minor, and completed the certificate program for Translation Studies. Patrick’s favorite thing about working at Argo is the opportunity to work with a diverse group of people, both inside and outside the company. In his spare time, he enjoys watching and playing sports, especially football, as well as traveling around the world.