Su búsqueda retornó 12 resultados.

Resumen: In part I of this article in the august issue, I described several corpus tools that can be used by linguists to search monolingual reference texts. This month, I will discuss various desktop search tools that were not created specifically for linguists, but can be used to search reference texts with differing degrees of ease... Desktop search tools usually create an index of the contents of all the words in files on your computer.

Resumen: When most translators think of translation memory or terminology databases. But what about monolingual reference texts in the target language?. There are three common situations where monolingal references will be provided or will prove useful: 1.When translating academic articles or reports containing a bibliography. 2.When translating marketing material or manuals for a client who provides you with similar material to consult in order to maintain consistent terminology. 3.When translating legistation, where terminonogy must be consistent with prior laws.

Resumen: Editor's Notes: Translators may be surprised to learn that the idea of using machines to facilitate the translation task has been around for a very long time. Already more than half a century ago inventors were at work on machines that would effect the transfer from one language to another.l In as early as 1933 a patent was granted in France to Georges Artsruni for his "mechanical brain" that could replace words or combinations of words with equivalents retrieved from a target dic~ tionary. Also, in that same year, P.P. Trojanskij, working in the USSR, proposed a complete translation process that would be largely automatic. Words were to be entered in a source dictionary together with "logical analysis marks" and then paired with their equivalents in a target dictionary, which also had their associated marks. An input text, matched word for word against the source dictionary, would undergo analysis and, based on the information from the analysis marks, be converted into logical formo An automated lookup would then retrieve, for the elements in logical form, tl¡eir corresponding equivalents in the target dictionary, and the grammatical forms would be generated automatically, based on the marks assigned to each entry. T rojanskij envisioned that human beings would be needed at the front end, to supply the words and the logical marks for the dictionary, and at the output end, to modify the text so that it would have the characteris~ tics of natural language. Trojanskij's model is in fact a clear and accurate description of machine translation (MT) as we know it today. The process was not to become a reality, however, until computer science itself caught up with his vision.

Resumen: The title of this book, "Professional Issues in Translation and Interpretation", is based on the premise that translating and interpreting are professions. Although not all those who render traanslations or engage in interpreting are professionals-in fact-, a significant number of them are not-it in the premise of the authors of this volume that the profession is real and that it is growing...

Resumen: Neural machine translation (NMT) is one of the success stories of deep learning and artificial intelligence. Revolutionary innovations in the computational architectures made in 2015–2017 have led to dramatic improvements in the quality of machine translation (MT) and changed the field forever. Some professional translators welcome these changes with enthusiasm, others less so. But everyone has to deal with them. Historically, the relationship between human translation and MT has been uneasy and complicated, but an increasing number of players in both fields are now coming to view it as synergistic.

Resumen: The reviews published in the august, september, and october issues focused on the environment tools Déjà Vu X and across. LogiTerm is a different kind of translation tool, with the advantage that you need not have your source text in electronic format. LogiTerm is especially useful for handwritten texts (like physicians ́reports) and for specialist translators in any area.

Resumen: In the november/december issue I descrbed what LogiTerm does, its search interface, and how it stores and searches termiology files. For those who did not read Part I of my review of this tool, I will just summarize these points here...

Resumen: Readers of recent columns will have noticed that OWOW has been visiting different planets in our linguistic universe, boldly going where not many translators have gone before. The space travel metaphor is, in my opinion, apt here, since we are going to be talking about localization, which involves adapting ideas, products, and services to languages and cultures all over the known world. If we ever find digital life anywhere else, there will be great demand for the services provided by my guest today. Dirk Goepfert is the localization engineering manager at Siemens Product Lifecycle Management Software Inc. in Milford, Ohio (www.siemens.com/plm).

Resumen: What are the pros and cons of using a tool like Intento that allows you simultaneous access to dozens of machine translation (MT) engines? (When I say “a tool like,” I’m really not being particularly accurate because it’s actually the only tool that does what it does.) If you’ve used generic MT engines like those from Google, Microsoft, or DeepL via your translation environment, you know that it’s rather tedious to create an application programming interface (API) key on their respective websites and then enter it into the application you’re using. It might be okay if you just want to use one or two MT engines, but if you would like to access 10 or 20, this becomes a real headache (and honestly untenable—if only because you don’t even know many of these engines exist or how to jump the language barriers of the many East Asian specimens to connect to them).

Resumen: With 42 companies and 850+employees in 30 countries, along with over 2,000 certified freelance translation around the world, STA Group is a global player. Josef Zibung is CEO, of the STAR Group.

Resumen: The purpose of this review is to describe what Déjà Vu X (DVX) offers translators who do not currently use a translation environment tool. Translators who use a different tool, but who might be interested in switching, may find the details mentioned here just as useful as downloading a trial copy.

Resumen: This review will introduce readers to the across. Personal version for freelance translators. This is a relatively new tool, and it is clear from its features that the programmers looked carefully into what worked and what did not in other tools when designing the product... It is clear from its features that the programmers lloked carefully into what worked carefully into what worked and what did not in other tools when designing this product.