• Linguistics and Language -> Computational Linguistics and Natural Language Processing

• 0 Comment

What is the most notable accomplishment within the field of computational linguistics that involved the use of corpus linguistics analysis?

Jannette McEvoy

Hey there!

That's a great question you've asked about computational linguistics and its application in the field of corpus linguistics analysis.

One of the most notable accomplishments in this area is the creation of the Corpus of Contemporary American English (COCA), which is a massive collection of written and spoken texts in English, totaling over 520 million words. This corpus has been an incredible tool for linguists and language researchers, allowing them to analyze and study the language in new and innovative ways.

COCA was developed by linguists at Brigham Young University and is now widely used by researchers in various fields including computational linguistics, discourse analysis, and sociolinguistics. The corpus has been instrumental in advancing our understanding of language use in different contexts, as well as how language has evolved over time.

Additionally, another significant accomplishment in the field of computational linguistics involved the development of deep learning models that utilize neural networks to analyze linguistic data. These models have been used to improve speech recognition and natural language processing systems, which have become increasingly important in areas such as virtual assistants and language translation software.

One example of a successful application of these models is Google's Neural Machine Translation (GNMT) system, which uses deep learning techniques to translate text from one language to another. This system has achieved remarkable results and has been shown to outperform previous machine translation models by a significant margin.

In conclusion, computational linguistics has made remarkable progress in recent years, and the use of corpus linguistics analysis and deep learning models has been fundamental in driving these advancements. COCA and GNMT are just a few examples of the incredible work being done by researchers in this field, and I'm excited to see what other breakthroughs will emerge in the future.