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NLPwin is a software project at Microsoft Research that aims to provide Natural Language Processing tools for Windows (hence, NLPwin). The project was started in 1991, just as Microsoft inaugurated the Microsoft Research group; while active development of NLPwin continued through 2002, it is still being updated regularly, primarily in service of Machine Translation.
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Labs: Redmond
Website for the CIKM2014 tutorial on Deep Learning for Natural Language Processing: Theory and Practice (more content to be added)
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Labs: Redmond
A tool that analyze the Arabic text and generates the parse tree
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Labs: ATL Cairo
This tool converts the colloquial Arabic to modern standard Arabic.
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Labs: ATL Cairo
Project CodaLab is an open source platform that empowers communities to explore experiments together and create competitions designed to advance the state-of-the-art in machine learning.
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Labs: Redmond
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Labs: ATL Cairo
Definition
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Labs: ATL Cairo
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Labs: ATL Cairo
Speller Motivation
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Labs: ATL Cairo
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Labs: ATL Cairo
Definition • Conversion of text from one script to another • Translation of named entities • Conversion of text from Romanized Arabic to native Arabic script
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Labs: ATL Cairo
Natural Language Processing (NLP) is a foundational infrastructure for processing written text. This processing revolves around text analysis and understanding serving a multitude of sophisticated tasks such as Text Search, Document Management, Automatic Translation, Proofreading, Text Summarization and many more…
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Labs: ATL Cairo
The global hub for sustainable development at Microsoft Research
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Labs: India
The goal of this project is to provide easily usable models for lexical semantic relations, which have been developed at Microsoft Research. Currently the models include heterogeneous vector space models for measuring semantic word relatedness and the polarity inducing latent semantic analysis (LSA) model that judges whether two words or synonyms or antonyms.
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Labs: Redmond
Spoken language understanding (SLU) is an emerging field in between the areas of speech processing and natural language processing. The term spoken language understanding has largely been coined for targeted understanding of human speech directed at machines. This project covers our research on SLU tasks such as domain detection, intent determination, and slot filling, using data-driven methods.
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Labs: Redmond
Intelligent Tutoring Systems (ITS) can significantly enhance the educational experience, both in the classroom and online. A key aspect of ITS is the ability to automatically generate problems of a certain difficulty level and that exercise use of certain concepts. This can help avoid copyright or plagiarism issues and help generate personalized workflows. This project develops technologies for problem generation in various subject domains including math, logic, and even language learning.
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Labs: India | Redmond
The goals of MSRA Knowledge Service system and the team are: (1) build a large, high-quality, fresh, and easy to use knowledge layer; (2) provide knowledge service to the utility layer and the application layer; (3) coordinate various knowledge extraction and refining effors at MSRA (to reduce duplication efforts).
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Labs: Asia
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Labs: Redmond
Using analysis of social media posts, we look for linguistic markers that might indicate postpartum depression.
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Labs: Redmond
Statistical Parsing and Linguistic Analysis Toolkit is a linguistic analysis toolkit. Its main goal is to allow easy access to the linguistic analysis tools produced by the Natural Language Processing group at Microsoft Research. The tools include both traditional linguistic analysis tools such as part-of-speech taggers and parsers, and more recent developments, such as sentiment analysis (identifying whether a particular of text has positive or negative sentiment towards its focus)
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Labs: Redmond
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Labs: Redmond
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Labs: Redmond
MS Afkar is an initiative to implement the technology and innovations from Cairo Microsoft Innovation Lab (CMIC) into cool ideas and scenarios targeted to impact Arabic internet users and to collect data that enables further R&D at CMIC. These ideas come from our researchers and developers and span a wide range of applications for content authoring, language tools, Internet browsing, search and much more.
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Labs: ATL Cairo
To drive and support the strategic initiatives of over 800 researchers in MSR worldwide through partnerships and communities, Microsoft Research Connections holds a yearly Think Tank meeting with academics from universities worldwide. The Winter 2011 Think Tank focused on semantic computing.
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Labs: Redmond
Contact search is important in many scenarios. In this project, we focus on making contact search easy and painless. Specifically, we address two issues: a) Spelling Mistakes b) Multilinguality. Users make different kinds of mistakes while typing names and aliases. It is important that contact search be tolerant to these mistakes. Further, users often type names in one language whereas the name is represented in a different language in the name directory/contact list.
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Labs: India
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