Natural Language Processing Engineer Interview Questions
A Natural Language Processing (NLP) Engineer develops products that rely on the intelligent processing of human language by a computer. Example applications include building an intelligent tutor, a system that automatically summarizes news articles, or one that recognizes and understands human speech. Beyond a very strong basis in natural language processing, an ideal candidate will be strong in related fields such as machine learning, text mining, information theory, and information retrieval. These natural language processing interview questions will also test familiarity with specialized tools and experience with projects working with natural language data such as nltk (Python), Apache OpenNLP, or GATE. Knowledge of linguistics is often a very big plus. Fluency in one or more foreign languages is equally valuable. This tends to be a very technical role and so research skills can also be very important. Computer science is typically the background of choice for this type of role but some very successfully approach this with a linguistics background that emphasizes computational linguistics.