Fancorico  Hunt

Fancorico Hunt


How to Build Your Own Machine Translation Service with Transformers

Machine translation is in demand within the enterprise environment. It’s vital that global companies are able to share documents, notes, emails, and other texts with people across the world in a gamut of different languages.

Arguably even more important is the need to democratize information alongside globalization. Regardless of your spoken language, you should have access to the same open source publications, healthcare info, tools, and knowledge as those whose primary language is widely spoken, like English.

#docker #machine-translation #transformers #nlp #flask

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How to Build Your Own Machine Translation Service with Transformers

Akshaya 7


Guide On How The Professional French Translation Services Work In India

French translation services are very much adequate for the people who want to convey their brand reports, information, and other essentials to the French clients or audience. If the businesses can convey with the clients in their native language, then probably the business will experience a progressive hike.

French is one of the best known European languages, and more than 80 million people across the globe speak this language. Therefore, if you are running an MNC, then you might need to leverage the opportunity for seeking sales or business from those 80 million people across the globe.
For better clarity, you must know that French is the second language for more than 100 million people across the globe. If you are wondering why you need the French translation services, then follow this article till the end to get the proper guide on how the professional French translation services can help you out.
At NNB Transtech, we provide All Foreign Language Translation Services.

Hiring Professional French Translation Services!

The professional French translation services offered by the major companies are to help the new and established companies reach out to the French-speaking audience or clients for better business. There are professional firms that are dedicated to offering the best translation services to the top MNCs with the help of subject matter translation experts.

The best part about hiring professionals is that they have a team of French experts who are proficient in different backgrounds. For instance, the professional French translators working in a firm are knowledgeable about Finance, healthcare, automobile, business, and other such niches. Therefore, accuracy is its prime commitment. So, the first step to avail the perfect French translation is to hire the best firm that is offering you ideal French translation services as per your needs and requirements within the specified budget.

The top corporations & organizations are very commonly in touch with clients and consumers all across the globe. Therefore, getting the documents and essentials translated into French is important for the companies to establish healthy communication with the French-speaking audience or clients.

Explain Your French Translation Project to the Professionals

The French translation service providers will assign a project manager for your translation needs. They are trained to understand and pen down everything you need and want to be mentioned in the translated document or promotional media.

Whether you seek French translation for websites or documents, you need to elaborate on the business or field it is related to. Once you do that, you will be asked for giving details on the facts and figures that you don’t want to be altered and should be present in the final output compulsorily.
The medical documents and accounting papers need to be perfectly accurate in terms of figures and facts. No business or individual will want it altered! The skilled employees are well aware of the facts and figures as they are subject matter experts.
But even then, they prefer taking instructions from the clients to overlook the work done before delivering it to the client.

After you explain your project, you will be given a deadline, and the work will begin. Irrespective of the complexity of the document, the professional translators will get it done without much hassle. The professional firms have the right certifications to handle your diverse translation projects.
Start of the Translation Project

After you have handed over your important document or other essential for the French translation, the experts will commence with the work. They have the right tools and expertise to start with quality translation work.

The professional French translation firms make sure to do the translation humanly. It is so because the machines are not accurate and it takes a lot of time to review the machine-translated documents. Therefore, to promote perfection in terms of the French translation, the professionals get it done by humans for utmost accuracy on priority.

Whether you have a medical, technical, financial, or legal document for translation, the experts are certified professionals in the respective background to handle your project. They will start as per your instructions that you stated in the previous step.

You can get the translated document in the desired format such as Adobe in Design, PowerPoint, MSWord, PDF, and others. If you are willing to get your documents translated from English to French without compromising on quality and at affordable pricing, seeking help from professionals is the best option for you.

Delivery of the Translated French Document

After the document has been translated, it is then sent to the review team to look at the accuracy of all the facts and figures. It is the job of the professionals to look after the accuracy of the documents to make them convey the right information to the French clients and consumers.
They are determined to offer you excellent quality, and for that, a proper review is highly demanded before the delivery of the work to the clients. Along with that, the professional firms are open for any type of edits as per the request from the clients.

The professionals leave no loopholes for bringing up the chances of edits. But even if you need more perfection, you can always reach out to your outsourced team to get the edits done without any additional charges. Therefore, the professionals are highly preferred for French translation overdoing it on your own.


These are the steps that act as the guide for you as well as the professional French translation firms to help you offer the best services at affordable pricing. You might be wondering whether to take the help of professional firms or hire an individual language expert.
An amateur language expert might not be proficient with tools and essentials to handle your multiple needs in the French translation project. You might be limited on the outputs by hiring individuals for your projects.

Therefore, it is better to seek help from professionals to help your business get the best benefits by putting up the best French translated documents for healthy communication with French-speaking clients or consumers across the globe.

#french translation services #spanish translation services #japanese translation services #german translation services #translation services

Kennith  Kuhic

Kennith Kuhic


Machine Translation

Machine Translation plays a vital role in today’s digitized and globalized world. It benefits society by processing and translating one natural language into some other natural language. With advances in technology, there is an enormous amount of information being exchanged between different regions with different languages. This boosts the demand for Machine Translation to grow exponentially over the last few decades. Owing to that, Machine Translation has become an active research area over the past couple of years. It can be divided into three distinct approaches: rule-based approaches, statistical approaches, and neural approaches. In this article, I will mainly focus on the statistical and neural approaches.


Machine Translation is the task of translating a sentence from one language (the source language) to a sentence in another language (the target language). It is the sub-field of computational linguistics that aims to utilize computing devices to automatically translate text from one language to another. Machine Translation research began in the early 1950s (Cold War period). During that time, there is a need to translate Russian documents into English. Since there are not many Russian language experts and it is very time consuming to translate, therefore Machine Translation is targeted to be applied. The systems developed at that time were mostly rule-based, using a bilingual dictionary to map Russian words to their English corresponding words. Even though it did not work very well, it gave way to statistical-based systems in the late 1980s. In the 1990s, the statistical word-based and phrase-based approaches that required little to no linguistic information became popular. The core idea of Statistical Machine Translation (SMT) is to learn a probabilistic model from data. In the 2010s, with the advent of deep neural networks, Neural Machine Translation became a major area of research. NMT is a way to do Machine Translation using deep neural networks. The neural architecture is called sequence-to-sequence (seq2seq). The vanilla seq2seq NMT involves two Recurrent Neural Networks (RNN) [1]. NMT research has pioneered many of the recent innovations of natural language processing (NLP) and researchers have found many improvements to the vanilla seq2seq and one major improvement is the use of attention mechanism [2]. Motivated by the attention mechanism, the paper “Attention Is All You Need” introduces a novel architecture called Transformer which is now the state-of-the-art language model [3]. This architecture relies entirely on attention-mechanism without any RNN and its variants such as BERT has been applied to many NLP tasks and are able to achieve state-of-the-art performance.

Statistical Machine Translation

Statistical Machine Translation (SMT) learns a probabilistic model from data. Suppose if we are translating from German to English, we want to find the best English sentence y, given German sentence x. SMT will formulate the task as follow:

It means that among all possible y, we want to find the best one. By using Bayes Rule, we can convert the above formula into below:

P(x|y) is called the translation model which is to model how words and phrases should be translated using parallel data. An example of parallel data is pairs of human translated German-English sentences. P(x|y) is further broken down into P(x, a|y) where a is the word alignment i.e., word-level and phrase-level correspondence between source sentence x and target sentence y.

P(y) is called the language model which is to model the probability of generating strings in a language using monolingual data. A language model is a function that puts a probability measure over strings drawn from a sequence of vocabulary. Given a string y of length n, we can derive the language model probability P(y) as:

However, it is inefficient to calculate the probability of a word given its entire history, we can approximate it by using the n-gram model. In the n-gram model, it makes a Markov assumption that yᵢ will only depend on the preceding n-1 words.

Bigram model example

To compute the argmax, we could enumerate every possible translation y and calculate the probability, however, it is computationally expensive. So, it uses decoding, a heuristic search algorithm, to search for the best translation by removing hypotheses with low probability. This is a brief overview of how SMT works. The best SMT systems were extremely complex, and many important details were not covered here. SMT is expensive and time-consuming to develop because it needs lots of feature engineering and human effort to maintain. [4]

Neural Machine Translation

Deep neural networks have achieved state-of-the-art performance in various applications. Along the line of research on using neural networks for SMT, Neural Machine Translation (NMT) became the major area of research. It uses a single end to end neural network architecture called sequence-to-sequence (seq2seq) which involves two RNNs: an encoder RNN and a decoder RNN. Encoder RNN will summarize the source sequence with an encoding vector, and decoder RNN will generate the target sentence which is conditioned on the previous encoding vector. The seq2seq model is a conditional language model which directly calculates P(y|x) because decoder RNN is predicting the next word of the target sentence y by conditioning on the source sentence x. The seq2seq model can also be used for many other natural language processing tasks such as summarization, dialogue chatbot and so on.

Sequence-to-Sequence (Seq2Seq)

In vanilla seq2seq as illustrated in Figure 2, encoder RNN (blue blocks) analyzes the input sentence in the source language, and it encodes the input sequence with a history vector called hidden state vector. The last hidden state or encoding vector is passed to decoder RNN (red blocks) as the initial hidden state. The decoder initial hidden state together with of the source sentence will generate a hidden state which will then pass to the linear layer.

The linear layer followed by Softmax will output the probabilistic probability distribution for the whole vocabulary of the target language. From that probability distribution, it will choose the token with the highest probability as the first word i.e., X and it will be used as the second input of the decoding. The second hidden state from the previous step and the first generated word X will be input to the second step of decoder RNN. And the same process will be repeated until it produces a token. The sequence of tokens generated from decoder RNN will be the result of the seq2seq model. [1]

The advantages of NMT compared to SMT is that it has better performance and requires much less human effort. However, it is less interpretable, hard to debug and difficult to control.

#machine-learning #transformers #deep-learning #machine-translation #machine translation

Fancorico  Hunt

Fancorico Hunt


How to Build Your Own Machine Translation Service with Transformers

Machine translation is in demand within the enterprise environment. It’s vital that global companies are able to share documents, notes, emails, and other texts with people across the world in a gamut of different languages.

Arguably even more important is the need to democratize information alongside globalization. Regardless of your spoken language, you should have access to the same open source publications, healthcare info, tools, and knowledge as those whose primary language is widely spoken, like English.

#docker #machine-translation #transformers #nlp #flask

Ray  Patel

Ray Patel


Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services


When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
  • microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
  • Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

sophia tondon

sophia tondon


5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

#machinelearningapps #machinelearningdevelopers #machinelearningexpert #machinelearningexperts #expertmachinelearningservices #topmachinelearningcompanies #machinelearningdevelopmentcompany

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#machine learning companies #top machine learning companies #machine learning development company #expert machine learning services #machine learning experts #machine learning expert