Google SyntaxNet is a natural language processing framework that provides tools for parsing and understanding the grammatical structure of sentences. It analyzes the syntax of text to identify relationships between words, making it useful for applications like machine translation and information extraction.
Explore the Howdy Skills Glossary
About Google SyntaxNet
Google SyntaxNet was developed by Google and released in 2016. It was created to enhance natural language understanding by providing a robust framework for parsing the grammatical structure of sentences. Its development aimed to improve applications in machine translation, information extraction, and other NLP tasks.
Strengths of Google SyntaxNet included its high accuracy in parsing and its ability to handle complex sentence structures. Weaknesses involved its relatively high computational resource requirements and potential difficulty in integrating with other NLP tools. Competitors included SpaCy, Stanford NLP, and AllenNLP.
Hire Google SyntaxNet Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Google SyntaxNet expert
A Google SyntaxNet expert must have strong skills in Python programming, proficiency in natural language processing techniques, experience with machine learning frameworks, and a solid understanding of syntactic parsing. They should also be familiar with TensorFlow and have the ability to optimize computational performance.
Hire Howdy Experts
Tamiris G.
Data Scientist
Skills
Postgresql
SpaCy
Mongodb
Flask
Python
FastAPI
Bio
Hire TamirisPossessing extensive experience in software engineering, this candidate expertly navigates the software development lifecycle from ideation to deployment and excels in various domains, including API development, Computer Vision, Natural Language Processing (NLP), and AI/ML applications. With a pronounced focus on Data Science, expertise in Python programming, and hands-on experience in utilizing AI/ML techniques on unstructured data types such as video, audio, and text, they are poised to drive impactful data-driven solutions. Their professional journey includes leading the development of applications for data extraction, video analytics, and the implementation of efficient database systems. Committed to generating value through data insights, they demonstrate a strong capacity for collaborating across technical and business teams to deliver refined and functional software solutions.
Matheus D.
Machine Learning Engineer
Skills
Html
Wordpress
SpaCy
Php
Python
Mysql
Javascript
Bio
Hire MatheusAn accomplished Machine Learning Engineer with over four years of experience in technology and three years in research, holding a Master's degree in Data Science and AI supported by the prestigious Eiffel Excellence Scholarship. Demonstrates international adaptability with professional experiences in Brazil, France, and Japan, collaborating with diverse teams across more than ten countries. Proven expertise in enhancing deep learning models, implementing natural language processing solutions, and developing robust data pipelines, with a strong proficiency in utilizing tools such as PyTorch, Azure, and Docker. Actively seeking opportunities as a Machine Learning Engineer, Data Scientist, or Data Engineer, with an openness to industrial PhDs.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
Howdy savings:
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.