FREE Natural Language Processing (Artificial Intelligence) Questions and Answers
Morphological segmentation: What is it?
Explanation:
Morphological segmentation is a process in natural language processing that involves breaking down a word into its morphemes and identifying the class of each morpheme. Morphemes are the smallest units of meaning in a language and can be combined to form words. By segmenting words into their component morphemes, one can gain insight into the word's purpose and how it is used in the language. This can be useful in various NLP applications, such as machine translation, text-to-speech conversion, and language learning.
Machine learning, particularly statistical machine learning, is the foundation of contemporary NLP algorithms.
Finding "bridging relationships" involving referring phrases is part of the broader coreference resolution problem.
Explanation:
Refer to the Coreference Resolution definition.
How does machine translation work?
Explanation:
Google Translator is the most well-known example of machine translation.
Pick one of the following applications for NLP.
Which of the following lists the main NLP tasks?
Explanation:
The list of NLP tasks is even longer.
Coreference Resolution: What is it?
Explanation:
A particular kind of coreference resolution is anaphora resolution.