Quais são os benefícios e desafios do uso da tecnologia para interpretar e traduzir?

Benefits: Increased productivity, faster turnaround times, and access to technologies that improve accuracy. Challenges: Loss of nuance, risk of misinterpretation, overreliance on technology.

Benefits: Fast translation, vastly improved tools from years past. Challenges: Regional and country dialects. Some of these are not easily picked up by translators and some direct translations don’t translate well to the local dialects.

These can be helpful when they integrate (and they usually do) a grammar corrector. The effectiveness I see is when working on large projects and thousands of words because it can be easy to misspell one or two words especially if you need to translate fast. However, you, as the human translator should read and correct the entire text as it will not make sense in 80% of the cases. But it is still a great tool to increase speed. We are far away from replacing human translation though.

In my experience as fast and convenient as this may seem its actually double the work. You will comb through and make sure that the translation makes sense. Also different Spanish languages translate differently. Some one who grew up speaking Spanish with a Mexican background may not say the correct word to communicate with some one from Colombia.

In my experience, I faced some softwares and websites related to translation process. As long as the user understand a little the language and will check the words using a good dictionary, this strategy reduces time consuming and maximize the search research. I recommend to use if you are careful.

I believe machine translation is still a bit behind, but running forward to catching up with the reality of the specific language. Some machines could probably get pretty accurate on the translation, but at the moment fail on language localization. For example, Spanish from Spain and Spanish from Puerto Rico. If you want to go even further, Spanish from Southern and Central Spain have their own nuances. I think once AI catches up with localization, translation will be a lot more fluid and easier to adapt. As of right now, unless you are a native on what you are translating or it is a very simple translation, most likely, there'll be errors that only humans can fix.

Let me start by saying that I have no professional experience on this matter, however, as a bilingual person, I have done plenty of interpretation. Interpretation comes in two forms: Simultaneous and Consecutive. The former obviously needs a formal preparation and plenty of practice. Consecutive on the other hand, needs someone paying attention to both people talking and being able to retain the last sentence or thought said. It is a skill that needs to be developed and with practice, it definitely comes second nature, but it's hard to get professional work in the sense that employers usually ask for experience. Referring to the remote aspect, unless the connection is not a good one, there should be no difference whatsoever.

Portable devices have gained significant popularity and accuracy, making them convenient for use on the go and for informal applications. However, I still rely on other tools for translating delicate documents that require specific and technical language, as regular phone applications may not be capable of handling such tasks.

Tecnology has been delevoping so fast and mobile devices are getting more space in translation and interpretation. If a person has a smartphone and is visitng a country where the language they don't know, these devices can be very helpful and free.

I think technology has completely transformed interpreting and translating, making it much faster and more accessible. I mean, even on mobiles people are able to translate full news pages in seconds (at least I do that quite often, haha!). But I often contemplate about the concerning fact that rapid shift also brings challenges—like the ethical concerns of relying too heavily on machines or the potential loss of cultural nuances, which, I mean just study the books or movies of old times - that is incomparable. Looking ahead, trends like augmented reality could change how we experience language entirely, but staying informed and adaptable is key to navigating these changes. That's what I feel.

The title of this collaborative article shows a massive flaw: translation and interpreting are two vastly different disciplines. There is no one-size-fits-all approach to the use of technology in translation AND interpreting. To try to sum them both up in a six point collaborative article grossly trivialises the intricacy and delicacy of both disciplines. The omission of Machine Interpreting is a fortuitous one - as that is a misnomer! What is sold as MI is really speech-to-text conversion, followed by machine translation with text-to-speech conversion of the MT output. It cannot correct itself on the fly, adjust to context obtained along the way and has no empathy.

There's a lot of trues in what you say about the problematic use of mechanical translation. What do you think are the most easy to solve problems that technological development should work on and the hardest to solve that they would better live for now.