Updated Oct 2018. We hope that other organizations can benefit from the project. Natural language processing models and tasks, generalized to many languages. We saw that for our data set, both the algorithms were almost equally matched when optimized. Feel free to contribute this project in my GitHub. Yang Liu and Sujian Li. We use NLP/IE to process, extract, and encode information from unstructured biomedical and clinical texts, including clinical texts from the electronic health record. Developing an expertise in FrontEnd technologies and contributing to projects such as XState for modelling ReactJS component and user behavior. NLTK also is very easy to learn, actually, it’ s the easiest natural language processing (NLP) library that we are. This is the second offering of this course. Join them to grow your own development teams, manage permissions, and collaborate on projects. Visit the download page to download CoreNLP; make sure to set current directory to folder with models!. The Natural Language Processing Lab (NLP-Lab) has a simple motto: You cannot train yourself a car. Transfer learning is currently the starting point for recognition tasks such as computer vision. How to reshape data with tidyr’s new pivot functions The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis -- plus a few miscellaneous tasks. What is GitHub? GitHub is a code hosting platform for version control and collaboration. Feedback and contributions from the open source and NLP research communities are more than welcome. So finally we had an open source and free platform to create our own bots. On this page you can find details about projects I have worked on or I am working on. Projects and Recents Work. The second edition of the BlackboxNLP workshop will be collocated with ACL 2019 in Florence. What is Stanford. For those who aren't familiar with AllenNLP, I will give a brief overview of the library and let you know the advantages of integrating it to your project. Sign up List of projects related to Natural Language Processing (NLP) that make a geek smile for they exist. The github repo contains a curated list of awesome TensorFlow experiments, libraries, and projects. This project contains several machine learning models trained from Large Movie Review Dataset. Supported languages: C, C++, C#, Python, Ruby, Java, Javascript. Open source tools are increasingly important in the data science workflow. We've released PyTorch-NLP because we found a lack of basic toolkits for NLP in PyTorch. cleanNLP: A Tidy Data Model for Natural Language Processing. The Natural Language Processing Research Group , established in 1993 , is one of the largest and most successful language processing groups in the UK and has a strong global reputation. Project or software documentation; Tutorials; The courses folder may be renamed. NLP API Client Libraries. gz Korean NLP. I created a GitHub repository explaining the complete process of extracting text from a PDF file, cleaning it, passing it through a NLP pipeline and plotting the results using spaCy, pandas, NumPy, Matplotlib, Seaborn and geopandas. Load the JSON file which contains Date, Title, Content, and Link of articles. Command line installation¶. LibreOffice UI - master is translated into 139 languages using Weblate. The R reference manual: https://cran. EXPERIMENTAL/UNSTABLE version. Startup Program Kickstart your startup with Neo4j. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. Previously, I worked as a Research Associate for the WeVerify (from March 2019 to August 2019) and SIMPATICO (from July 2016 to February 2019) projects. You will form groups of 3 (preferably, for exceptions please ask Sasha) to work on a project. Morad, Noam Shalev, Idit Keidar, Avinoam Kolodny, Uri Weiser. This is a Google font pairing typography project using Burmese poems as content. Social media was used by people and politicians to prove their points and resultant there were comments, tweets and posts in support and against. Use the unigram language model algorithm. Use our client libraries to integrate SYSTRAN NLP API into your development project. For projects that support PackageReference, copy this XML node into the project file to reference the package. Yang Liu yang. Inspired by Joseph Misiti's github project. is the natural language processing (NLP) and information to get you started on your next big NLP project. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. In this blog post we’ll 3 we’ll walk through 3 common NLP tasks and look at how they can be used together to analyze text. cleanNLP: A Tidy Data Model for Natural Language Processing. com The transformers library can be self-sufficient but incorporating it within the fastai library provides simpler implementation compatible with powerful fastai tools like Discriminate Learning Rate , Gradual Unfreezing. Start by Oct 22, 2019 or earlier | Due on Dec 8, 2019. If you use Eclipse, then you will need to re-run sbt "eclipse with-source=true" and refresh the project from within Eclipse before you will see the changes. The Stanford Natural Language Inference (SNLI) Corpus New: The new MultiGenre NLI (MultiNLI) Corpus is now available here. scikit-learn. Learn programming, marketing, data science and more. io) is a superfast and feature rich NLP library in Python. The Big Mechanism program aims to develop technology to read research abstracts and papers to extract pieces of causal mechanisms, assemble these pieces into more complete causal models, and reason over these models to produce explanations. is the natural language processing (NLP) and information to get you started on your next big NLP project. The Daffodil International University CSE Natural Language Processing and Machine Learning Research LAB group studies a range of core NLP problems (such as parsing, information extraction, and machine translation) as well as emerging challenges (such as modeling and processing social media text, analyzing linguistic style, and jointly modeling language and vision). View On GitHub; This project is maintained by blackboxnlp. CMUSphinx is an open source speech recognition system for mobile and server applications. You query it via HTTP GET and receive JSON, XML, CSV or binary results. (AAAI 2016). Update site menu. First start with a task that has a well-defined dataset that you can use for your project. io helps you find new open source packages, modules and frameworks and keep track of ones you depend upon. The Stanford NLP Group's official Python NLP library. But, Stanford CoreNLP was designed from the start to work with multiple human languages and it is careful about things like different character encodings. 0 - Published Jul 26, 2015 - 1 stars Naticon. The class is designed to introduce students to deep learning for natural language processing. Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including how to put deep learning models into production and a different way to measure artificial intelligence, among others Each data science project. It has been developed by Boris Katz and his associates of the InfoLab Group at the MIT Computer Science and Artificial Intelligence Laboratory. com The transformers library can be self-sufficient but incorporating it within the fastai library provides simpler implementation compatible with powerful fastai tools like Discriminate Learning Rate , Gradual Unfreezing. File Structure of the Project. Pick something you are passionate about or something you find interesting. Published in the 5th Workshop on Systems for Future Multicore Architectures. In my quest to bring the best to our awesome community, I ran a monthly series throughout the year where I hand-picked the top 5 projects every data scientist should know about. We are a group of computational linguists working on the advance of natural language processing in Korean. My homes have been Tokyo, NYC, California, Seattle, Shanghai - in those places I've worked both for Google and on smaller projects. MuSc HackMIT 2014. The workshop will also include two shared tasks on common-sense machine reading comprehension in English, one based on everyday scenarios and one based on news events. Text to Scene Generation Overview. This section contains the following projects: Projects: How I Used Deep Learning To Train A Chatbot To Talk Like Me; Business Intelligence project. View On GitHub; This project is maintained by blackboxnlp. Latent Structure in NLP. gz Natural Language Processing. Top 49 Tools & Projects. Discover how to get better results, faster. Skip to content. 0 and PyTorch 🤗 Transformers (formerly known as… github. Developers can use their choice of NLP …. Blog; Sign up for our newsletter to get our latest blog updates delivered to your inbox weekly. Significant. It has many limitations, including the fact that it only handles English vocabulary. Also there is no mention of requirements. Important dates. Deep learning for NLP AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. Welcome to the Cancer Deep Phenotype Extraction (DeepPhe) project. For example, if you get Stanford CoreNLP distribution from Stanford NLP site with version 3. This repo contains thoughts and guidance about the use of Natural Language Processing, based on the experience of using these techniques in a few projects here at the Data Science Hub in the Ministry of Justice. Oct 23, 2018 · By default it uses some the most popular open source libraries for Natural Language Processing and Machine Learning like SpaCy and scikit-learn with default parameters optimized for most common NLP tasks like Intent classification (understanding what user wants eg, asking question, ordering something) and Named Entity Recognition (understanding. For the detail, please visit our GitHub repository page. Information Extraction with Stanford NLP Introduction Open information extraction (open IE) refers to the extraction of structured relation triples from plain text, such that the schema for these relations does not need to be specified in advance. I created a GitHub repository explaining the complete process of extracting text from a PDF file, cleaning it, passing it through a NLP pipeline and plotting the results using spaCy, pandas, NumPy, Matplotlib, Seaborn and geopandas. Getting a copy. Below are the required steps to get acquainted with the project. Contributing Guide. Top Machine Learning GitHub. Language Technology project (i. Advanced NLP Projects with TensorFlow 2. The Universe database is open-source and collected in a simple JSON file. Stanford NLP has 25 repositories available. corenlp-docker A Dockerfile for Stanford CoreNLP Server by motiz88. Jade is an templating engine, primarily used for server-side templating in NodeJS. Snorkel: Rapid Training Data Creation with Weak Supervision (VLDB 2018) Data Programming: Creating Large Training Sets, Quickly (NeurIPS 2016) Snorkel and the Software 2. Kian Katanforoosh. Project Ideas. This is the 10th edition of our monthly GitHub series. Use the unigram language model algorithm. Since it's entirely written in JavaScript, you can try morphological analysis without server connection. js, Java, Ruby, Python. AAN encompases our corpus of resources on NLP and related fields and the research projects which build upon this corpus. The main project that we are engaged in currently is: Indiana University Deep Semantic Graph (IU-DSG) There are various sub-projects related to IU-DSG and some code repos are available on. tsv) that carries 4000 comments that were published on pull requests on Github by. Apr 05, 2018 · GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. You will not be penalized if your results fall short of expectations -- after all, that's just the uncertainty of research and development! In. All the code used in the tutorial can be found on the corresponding github repository. Webb got started by identifying a pool of 16,400 AI patents with words like “neural network” in their titles or abstracts, then used NLP to identify 8,000 verb-object pairings like “diagnose. Final Project Reports for 2019. LibreOffice UI - master is translated into 139 languages using Weblate. My name is Advait Ambeskar. 2019 : Deep Learning Research Project, Paris Redesign of a private Accident Insurance product. AllenNLP is a free, open-source project from AI2. Nov 10, 2016 · It is an NLP toolkit in Common Lisp. For those who aren't familiar with AllenNLP, I will give a brief overview of the library and let you know the advantages of integrating it to your project. The application of Natural Language Processing (NLP) in the general English domain has seen enormous progress over the past decades, progress that was largely enabled by availability of tools and resources that could be shared, reused, and improved in multiple projects and collaborations. NLP API Client Libraries. Go through tokenization process and remove stopwords,. tsv) that carries 4000 comments that were published on pull requests on Github by. For more information on the projects I've worked on, check out my projects page!. I took on this project as part of my Open Source month at Pesto Career Accelerator and was amazed at what I found!. Discover open source packages, modules and frameworks you can use in your code. GitHub, GitHub projects, GitHub Python projects, top 30 Python projects in GitHub, django, httpie, flask, ansible, python-guide, sentry, scrapy, Mailpile, youtube-dl, sshuttle, fabric. I am very interested in NLP and hence joined a weekend course on AI in some local institution, which requires me to do a project for completion of the course, and I. Discourse processing is a suite of Natural Language Processing (NLP) tasks to uncover linguistic structures from texts at several levels, which can support many downstream applications. The project is initiated and currently led by the Emory NLP research group with many helps from the community. Solr Features Solr is a standalone enterprise search server with a REST-like API. A open source real time training system basic on word2vec, support NLP training in chatbot to replace a Q&A layout, also which will support chatbot widget, sentiment analysis and paragraph classification in the future. A project to gather the best packages for Sublime Text 3 and Atom text editors from the coding community. This is my own project using image recognition methods in practice. You can find links to previous years' reports under Previous Offerings on the homepage. 09 Practical Tips for Final Projects 10 Question Answering and the Default Final Project 11 ConvNets for NLP 12 Information from parts of words Subword Models 13 Modeling contexts of use Contextual Representations and Pretraining 14 Transformers and Self-Attention For Generative Models 15 Natural Language Generation. The way that Gobbli. This project contains several machine learning models trained from Large Movie Review Dataset. The code has been well commented and detailed, so we recommend reading it entirely at some point if you want to use it for your project. We are thankful for any contributions from the community. Data science portfolio by Andrey Lukyanenko. I am a member of the Natural Language Processing group and part of the GATE team. Jade is an templating engine, primarily used for server-side templating in NodeJS. Flow solver; Chaos game; Human RNG; Terminal Snake. We are a group of computational linguists working on the advance of natural language processing in Korean. May 16, 2019 · StanfordNLP: A Python NLP Library for Many Human Languages. Tutorials; Neural Models; Sequence to Sequence Learning; Translation; Summarization; Question Answering; Alignment; Resources; Tutorials. Use the parts which you like seamlessly with PyTorch. What is Stanford. Start by Oct 22, 2019 or earlier | Due on Dec 8, 2019. Stay Updated. NLP on GitHub comments 1 minute read On this page. js and is available under the MIT open source license. Marcus Liwicki. 0-alpha1 is the most recent but it is also experimental/unstable. If you do not anticipate requiring extensive customization, consider using the Simple CoreNLP API. ELIZA has almost no intelligence whatsoever, only tricks like string substitution and canned responses based on keywords. Stay Updated. Subscriptions Get the best Neo4j Subscription for your organization. Yang Liu and Sujian Li. 3+ classes for beginner to semi advanced natural language processing work. In this post, we go through an example from Natural Language Processing, in which we learn how to load text data and perform Named Entity Recognition (NER) tagging for each token. Let’s look at Natural Language processing influencers, that you may be interested to follow. Join GitHub today. Need to know which are the Awesome Top and Best artificial intelligence Projects available on Github? Check out below some of the Top 50 Best artificial intelligence Github project for final year students repositories with most stars as on January 2018. Blog Post 3 Project Proposal 16 Apr 2019 Project Proposal: Visual QA Summary. Researchers and students working on health NLP projects and others interested in learning about and sharing NLP knowledge and resources are strongly encouraged to attend. LibreOffice UI - master is translated into 139 languages using Weblate. A NLP Chatbot training system. We examine top Python Machine learning open source projects on Github, both in terms of contributors and commits, and identify most popular and most active ones. View the Project on GitHub allenai/scispacy. Use Azure AI services to create the next generation of applications that span an intelligent cloud and an intelligent edge powered by artificial intelligence. 3+ classes for beginner to semi advanced natural language processing work. Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!. Python TKinter spaCy. KAGGLE is an online community of data scientists and machine learners, owned by Google. coursera: https://www. ipynb file Motivation. Developers can use their choice of NLP …. This is a weekly round-up of NLP News and Code drops from Techies. gz Korean NLP. When describing a scene, people will often omit important common sense knowledge about the placement of objects. My research topic is about Natural Language Processing (NLP) and Computer Vision (CV). The website should effectively summarize the main results of your project and tell a story. POSTagger? A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc. NLP on GitHub comments The dataset I am using in this project (github_comments. Need to know which are the Awesome Top and Best artificial intelligence Projects available on Github? Check out below some of the Top 50 Best artificial intelligence Github project for final year students repositories with most stars as on January 2018. Recent KDnuggets software. The corpus is in the same format as SNLI and is comparable in size, but it includes a more diverse range of text, as well as an auxiliary test set for cross-genre transfer evaluation. Or the other has tried before but hasn't know where to start because there are lots of functions. Before this gig, I was a Postdoctoral Fellow at the Center for Language and Speech Processing at Johns Hopkins University, where I helped start the UniMorph project. Natural Language Processing guidance. But for most students, real world tools can be cost-prohibitive. Core Surprise Removal (CSR) in Commodity Operating Systems. View On GitHub; This project is maintained by statsmaths. Twitter; Github; LinkedIn; Projects Soccer. A single page parallax e-invitation site made as a present for my friends’ wedding. I took on this project as part of my Open Source month at Pesto Career Accelerator and was amazed at what I found!. I am a fourth-year Computer Science and Mathemtics undergrad at UC Irvine, where I work closely with Sameer Singh on Machine Learning Interpretaions and Natural Language Processing Projects. Language Understanding Intelligent Service (LUIS) offers a fast and effective way of adding language understanding to applications. List of Deep Learning and NLP Resources Dragomir Radev dragomir. The second edition of the BlackboxNLP workshop will be collocated with ACL 2019 in Florence. Natural Language Processing Fall 2019. However, in natural language processing (NLP), the application of this technique is less prevalent. Kian Katanforoosh. com/2015/09/implementing-a-neural-network-from. The Natural Language Processing/Information Extraction program is a team of investigators at the University of Minnesota, Institute for Health Informatics. It can perform text analysis using a local version of Stanford Natural Language processing. Indic NLP Library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. The blog series is meant to be more explanatory and fewer codes. Implementation or Usage of QnA model in industry/project. Nov 21, 2019 · GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. they can choose to "retweet" or share a tweet, to promote ideas that they find favorable and elect to follow others whose opinion that they value. 💝 Example projects for various NLP tasks with datasets, scripts and results - explosion/projects. This is the syllabus for the Spring 2019 iteration of the course. This is a summary of all open-source projects from GitHub. gz Korean NLP. Others: A Dependency-Based Neural Network for Relation Classification Yang Liu, Furu Wei, Sujian Li, Heng Ji, and Ming Zhou. You have to engineer it. A project to gather the best packages for Sublime Text 3 and Atom text editors from the coding community. Free and open-source eCommerce platform. Christo Kirov. His research interests include analysis of entities mentioned in text, linking texts and knowledge bases, and multilingual subword methods. This package can analyse text with NLP and stores in a database. This involves identifying the topic structure, the coherence structure, the coreference structure, and the conversation structure for conversational discourse. NLP is a discipline where computer science, artificial intelligence and cognitive logic are intercepted, with the objective that machines can read and understand our language for decision making View on GitHub Download. Beginning with Fulcro framework for ReactJS. Solr Features Solr is a standalone enterprise search server with a REST-like API. Aug 22, 2016 · Chatbot using Microsoft Bot Framework - Part 1 22 Aug 2016. Blog; Sign up for our newsletter to get our latest blog updates delivered to your inbox weekly. 765 Machine Learning: Linguistic & Sequence Modeling Spring 2019 Announcements. 5+ requires Java 8, but works with Java 9/10/11 as well. For more details on the formats and available fields, see the documentation. Advance your career with online courses in programming, data science, artificial intelligence, digital marketing, and more. Stay Updated. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. View the Project on GitHub dcavar/nlp-lab. A few of my projects. sbt for stanford NLP. Let’s look at Natural Language processing influencers, that you may be interested to follow. Morad, Noam Shalev, Idit Keidar, Avinoam Kolodny, Uri Weiser. Top 49 Tools & Projects. MuSc HackMIT 2014. Please see Github Repository. The code has been well commented and detailed, so we recommend reading it entirely at some point if you want to use it for your project. Learn programming, marketing, data science and more. Contents Classification Models. Noam Shalev, Idit Keidar, Yaron Weinsberg. The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing. About Events Links Members News Projects Publications. Welcome to the Cancer Deep Phenotype Extraction (DeepPhe) project. Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills!. The BioMedical Information Collection and Understanding System (BioMedICUS) is a system for large-scale text analysis and processing of biomedical and clinical reports. Why don't you follow the steps documented in the Usage section of the README. Christo Kirov. In this paper, we discuss the most popular neural network frameworks and libraries that can be utilized for natural language processing (NLP) in the Python programming language. The goal of this project is to enable people to quickly and painlessly get complete. Aug 27, 2015 · Courses. The BioMedical Information Collection and Understanding System (BioMedICUS) is a system for large-scale text analysis and processing of biomedical and clinical reports. Snorkel: Rapid Training Data Creation with Weak Supervision (VLDB 2018) Data Programming: Creating Large Training Sets, Quickly (NeurIPS 2016) Snorkel and the Software 2. The Natural Language Processing group focuses on developing efficient algorithms to process text and to make their information accessible to computer applications. Developing an expertise in FrontEnd technologies and contributing to projects such as XState for modelling ReactJS component and user behavior. Stay Updated. NLP Project- Sentimental Analysis. Project maintained by basblsolver. zip file Download this project as a tar. Remember the last Natural Language Processing p. Let’s look at Natural Language processing influencers, that you may be interested to follow. SpeakEasy's goal is to provide a library for NodeJS to perform simple language processing actions that perform well for 70%-80% of all cases. For more details on the formats and available fields, see the documentation. Nov 21, 2019 · GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. In this blog, I want to cover the main. Jun 27, 2019 · Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora. Many NLP tools are already freely available in the NLP research community. Oct 11, 2019 · BigQuery is automatically enabled in new projects. Each of the free scripts below includes full PHP source codes. Natural Language Processing and AI Guillaume Genthial blog In 2018 I joined Roam Analytics as an NLP engineer, where I have been working on improving existing NLP pipelines and developing new models for information extraction applied to clinical text. Unlike other toolkits, it does not depend on third-party APIs (but can easily integrate with them if necessary), and is fully Open Source, so you get complete control over your data and algorithms. This module provides all the handler which handles requests coming from. Why don’t you follow the steps documented in the Usage section of the README. Steedman, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2010. The Stanford NLP Group's official Python NLP library. INSPIRE - a state level students camp is a 5 days science and technology camp for high school students, where top 1% students from the state are selected to attend the camp at Shri Mata Vaishno. When describing a scene, people will often omit important common sense knowledge about the placement of objects. Yet when the original ELIZA first appeared in the 60's, some people actually mistook her for human. Jul 17, 2018 · In this tutorial, we will cover Natural Language Processing for Text Classification with NLTK & Scikit-learn. Natural Language Processing guidance. Hosted on GitHub Pages — Theme by mattgraham. However, I guess a few people actually use it. Jul 17, 2018 · In this tutorial, we will cover Natural Language Processing for Text Classification with NLTK & Scikit-learn. I created a GitHub repository explaining the complete process of extracting text from a PDF file, cleaning it, passing it through a NLP pipeline and plotting the results using spaCy, pandas, NumPy, Matplotlib, Seaborn and geopandas. When we hired Marc, we were in a hurry since a member of the department left and we were not finding the appropiate profile. Refinery was a project supported by the Knight Foundation's prototype fund to build an NLP web application that simplifies the use of complicated NLP tools in an easy to use web interface. I created nlp-tutoral repository who is studying NLP(Natural Language Processing) using TensorFlow and Pytorch inspired by other example code. And there are many others - it's not so hard to build a dockerfile. View On GitHub; This project is maintained by blackboxnlp. Learn about all our projects. Natural Language Processing Tutorial NLP, and Representations (colah. zip Download. Over the years, I've developed a number of open-source Lisp projects, which are gathered in my github account. View project. Natural language processing (NLP) is also picking up steam on GitHub, as packages like NTLK lower the barrier to entry for NLP work. START, the world's first Web-based question answering system, has been on-line and continuously operating since December, 1993. You'll find projects from computer vision to Natural Language Processing (NLP), among others. GitHub‘s’ Developer Community is A’Boomin, Same for Data Science! Developers are flocking to GitHub contributing to more NLP projects than ever before. Please make a PR to help fill in the missing areas and open issues as if you have other suggestions. All the codes can be found separately in my word-prediction Github page. I recently completed a course on NLP through Deep Learning (CS224N) at Stanford and loved the experience. tsv) that carries 4000 comments that were published on pull requests on Github by. NER --version 3. A new version of Flair, the simple Python Natural language processing (NLP) library has just been released by Zalando Research. Join them to grow your own development teams, manage permissions, and collaborate on projects. You put documents in it (called "indexing") via JSON, XML, CSV or binary over HTTP. We are collaborating with the Heriot Watt University NLP lab) and the UCL Machine Reading Group in the EPSRC-funded project Diligent. What is the Keep-Current Project? Keep Current Project is an open-source project that aims to assist students, researchers and courious to stay current with their profession, by filtering freshly released academic papers. CMUSphinx is an open source speech recognition system for mobile and server applications. Top 49 Tools & Projects.