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Neural machine translation is a particularly interesting niche field of artificial intelligence. This is because - traditionally - accurately translating one language into another can be difficult for a machine to achieve. Here, in this article, we are going to take a look at the technology that has and is adapting to do this job: neural machine translation.



Challenges of Machine Translation

All current languages have grammar rules and their own phrasing intricacies. When speaking, though, these aren’t always adhered to. Most people talk in shorthand or use some form of slang. In addition, there are words and phrases in some languages that may not have a direct translation into another.

The challenge has traditionally been that machines couldn’t keep up with this fluidity and ambiguity. This is because the old standard, statistical machine translation (SMT), worked on rule-based factors to create a direct translation. In other words, this software was run by the semantic, lexical, and syntactic rules that linguists laid out. This rule-based machine translation (RBMT) didn’t leave much room for growth and it limited what the programs could do.

How Is Neural Machine Translation Different?woman-1172718_1280



Neural machine translation (NMT) differs from SMT because it uses an artificial neural network (ANN) rather than strict rules. ANNs are modeled after biological neural networks such as the human brain. The goal behind this is to create an AI system that can “think” rather than simply complete an assigned task. This allows the AI to process factors in translation such speech patterns and phrasing.

Another benefit of ANNs is that alongside thinking, they are also learning. This means that the more this AI translates languages, the better it will become at performing this job.

The Future of Neural Machine Translation

As of right now, NMT isn’t as widely implemented as SMT. A part of this is that it isn’t as developed as SMT. While more effective, NMT is still being further developed and learning new tricks. This only makes sense - such a complex system as this takes time to fully flesh out. However, as the technology has made it’s advancements, it will most like going to see wider use and distribution.

As for the fear of automation and replacement of the job of human translators, this is a far off of a worry. Experts in the field predict that it will be a while before these learning AI systems will be able to think on the same level as human rather than simply compute information in a robotic manner.






You can read more about Neural Machine Translation on the following sites:

3 Reasons Why Neural Machine Translation is a Breakthrough

Microsoft: What is a neural machine translation (NMT)?




In order to talk about Translation Service Providers, you must first know what the job is all about.

Translation Service Providers (TSP) have been around for several years now, they are sometimes referred to as Translation Agencies that offer their translation services to clients. Sometimes they also offer other related jobs such as interpretation or localization or even social coaching solutions, it all depends on the company and what their client population is.

When an individual is Translating they are creating a process of ‘searching’ the words of one text in any particular language and turn it into a text in any other particular language. Everything can be translated, from books to magazines or even Search Engine marketing adds, if there is a word then it can also be translated.

A lot of times the Translation Service Providers also offer something called ‘’Localization’’. This is when their translation services are defined by the nuances of a particular nation, group, cultural background or geographical area. For example, if Translating into French, the Translation Service Provider will focus on where the language is spoken and the overall context of the piece in order to produce an accurate translation and localization.

South America is definitely a land of opportunities. There are several reasons why the Translation Market size is increasing in South America, and it is definitely changing its dynamics and offering new and exciting opportunities to prospective international clients and investors.

Some of the major changes that this market is facing are the new technologies that is continuously presented to this area, while also an increase of international companies that are looking forward to developing commercial ties to the South America area.  

Continue reading to find out some of the reasons to keep an eye on in the non-stop growing Translation Market in South America:

Did you know that more than 400 million people around the world speak Spanish as their first language? And 300 million of them come from Latin America?

If you have ever heard a person from Spain speak in Spanish and then  immediately after you hear a person from any country in Latin America say exactly the same phrase, then you will soon realize how different they sound.

Even though it is the same language, there are some distinct differences between the Spanish from Spain and the Spanish from Latin America. In fact, it is like saying that there are differences between the English in England or in North America.












BLEU(Bilingual Evaluation Understudy)は、自動評価メトリックスを提供します。同時に提供されたさまざまな翻訳オプションを見比べながら評価します。言い換えれば、BLEUはアルゴリズムを使用して翻訳機械が訳した翻訳の品質をある言語から別の言語に訳し文を見比べながら評価します。


BLEUを使用する場合、そのスコアは単一のセグメントを翻訳するたびに計算されます。例えば、スペイン語の「Me llamo Eugenia」を英語の「My name is Eugenia」に翻訳したいとします。この2つの文章はデータベース上にある別の文章群と比較され、翻訳の質の基準として使用されます。


2. 自動評価メトリックス


3. 人力評価

人力評価は、その名の通り、人間が機械翻訳された文章を修正または編集することです。 言い換えれば、人間の注釈者は、多方面にわたって均整の取れた翻訳を提供し、不規則な意味の翻訳を避け、文脈に沿ったフレーズにします。








No.1 旅行業界

次の休暇、あなたはどちらへ旅行に行かれますか? - 旅行業界の収益は年々増加していますが、その理由は、旅行会社がネット経由で、あるいは現場で提供する翻訳サービスで顧客を手助けしているからに他なりません。

さらに、多くの国が自国の領土に入るためのビザを要求しているため、旅行業界は、現在、旅行証明書、ビザ書類、案内書、規約書類などの翻訳サービスを提供しています。 言うまでもなく、この種のサービスは顧客にとって多大な時間の節約になります。これは旅行会社と顧客の双方にとってメリットがあります。旅行する様々な場面で、言語の壁を越える手伝いを人は必要としているのです。 

No.2 ウェブサイト翻訳サービス業界




No.3 銀行・金融業界 



No.4 医療福祉業界


No. 5 法務業界