Here is a list of NLP research engineer interview questions with answers that will help you ace all kinds of NLP Interview Questions. The interview questions in NLP have been divided into subgroups for your convenience. So get your tickets of time and take the giant leap towards landing your dream job of becoming an NLP Engineer.
Most people start their mornings with an energetic morning walk and a bit of grocery shopping. In the grocery store, if there is an item they want to find and cannot understand the foreign language written on the packaging, they quickly take out their phone. They open the Google Translate app, and voila! They are able to decide whether to buy the product or not. The app is of great help for someone with specific allergies and people living in foreign countries.
The Google Translate app is an excellent example of Natural Language Processing (NLP) applications. And, if such apps fill you with the zeal of designing something more intelligent, then NLP is the field for you. NLP is a subdomain of Artificial Intelligence that deals with making a machine (a computer) understand the way human beings speak and write the language in their everyday lives.
NLP has recently gained popularity because it can automate tasks for organizations and save time for them. It is an exciting technology that is here to stay for a long time. Thus, it’d be a great option to consider becoming a NLP Research Engineer , Data Scientist, Machine Learning Engineer as a career option to explore given the vast opportunities.
As per Fortune Business Insights, the global artificial intelligence market is expected to climb $266.92 Billion by 2027. A survey conducted by Gartner revealed in 2019 that 37% of the surveyed companies have started implementing AI in their day-to-day tasks, thus signifying a 270% increase in the last four years (w.r.t. 2019). Do a quick search on LinkedIn, and don’t be surprised to notice that there are about 20000+ jobs for NLP Engineer/Researcher.
All these stats suggest that now is the perfect time to explore a career in AI and Machine Learning. And if NLP is the subdomain that thrills you and you have already made up your mind for it, then you are on the right page to prepare for your next dream job role that requires NLP skills.
NLP Interview Questions and Answers | Natural Language Processing Interview Questions | Intellipaat
12. What is NES?
Name entity recognition is more commonly known as NER is the process of identifying specific entities in a text document which are more informative and have a unique context. These often denote places, people, organisations, and more. Even though it seems like these entities are proper nouns, the NER process is far from identifying just the nouns. In fact, NER involves entity chunking or extraction wherein entities are segmented to categorise them under different predefined classes. This step further helps in extracting information.
28. What is Parts-of-speech Tagging?
The parts-of-speech (POS) tagging is used to assign tags to words such as nouns, adjectives, verbs, and more. The software uses the POS tagging to first read the text and then differentiate the words by tagging. The software uses algorithms for the parts-of-speech tagging. POS tagging is one of the most essential tools in Natural Language Processing. It helps in making the machine understand the meaning of a sentence. We will look at the implementation of the POS tagging using stop words. Let’s import the required nltk packages.
To find punctuation and words in a string, we will use word_tokenizer and then remove the stop words.
Now, we will use the POS tagger.
Output:
15. What are the possible features of a text corpus in NLP?
a. Count of the word in a document b. Vector notation of the word c. Part of Speech Tag d. Basic Dependency Grammar e. All of the aboveAnswer: e) All of the above can be used as features of the text corpus.
