Human languages are full of names that are pronounced differently depending on which things they are used to refer to. For example, "Houston", the name of the city in Texas, is pronounced /ˈhjuːstən/ (rhymes with "hue"), while "Houston" in the name of Houston Street in New York is pronounced /ˈhaʊstən/ (rhymes with "how"). Because of this, a dictionary that records the pronunciation of words but does not list their meaning is incomplete and can be misleading.
The Cofactor Ora dictionary is based on Cofactor Meta—Cofactor's identity provider that keeps track of entities by their identifiers and not their names and therefore never confuses entities with the same name. This allows Ora to record names of each city, street, or person that have "Houston" in them and capture any subtle yet crucial differences in how they are pronounced.
When you sign up for a Cofactor account, a page about you is created in Cofactor Ora that you can use to record and share your preferred name pronunciation.
What does npm exec do? What is the difference between "npm exec" and "npx"?
What are the building blocks of OWL ontologies?
The Hadamard gate is one of the simplest quantum gates which acts on a single qubit.
Learn more about the bra–ket notation.
Progressive Cactus is an evolution of the Cactus multiple genome alignment protocol that uses the progressive alignment strategy.
The Human Genome Project is an ambitious project which is still underway.
Find out more in Eckher's article about TensorFlow.js and linear regression.
Facebook's Nemo is a new custom-built platform for internal data discovery. Learn more about Facebook's Nemo.
What is Data Commons (datacommons.org)? Read Eckher's introduction to Data Commons (datacommons.org) to learn more about the open knowledge graph built from thousands of public datasets.
Learn more about how Bayer uses semantic web technologies for corporate asset management and why it enables the FAIR data in the corporate environment.
An introduction to WikiPathways by Eckher is an overview of the collaboratively edited structured biological pathway database that discusses the history of the project, applications of the open dataset, and ways to access the data programmatically.
Read more about how document understanding AI works, what its industry use cases are, and which cloud providers offer this technology as a service.
Lexemes are Wikidata's new type of entity used for storing lexicographical information. The article explains the structure of Wikidata lexemes and ways to access the data, and discusses the applications of the linked lexicographical dataset.
The guide to exploring linked COVID-19 datasets describes the existing RDF data sources and ways to query them using SPARQL. Such linked data sources are easy to interrogate and augment with external data, enabling more comprehensive analysis of the pandemic both in New Zealand and internationally.
The introduction to the Gene Ontology graph published by Eckher outlines the structure of the GO RDF model and shows how the GO graph can be queried using SPARQL.
The overview of the Nobel Prize dataset published by Eckher demonstrates the power of Linked Data and demonstrates how linked datasets can be queried using SPARQL. Use SPARQL federation to combine the Nobel Prize dataset with DBPedia.
What are the best online Arabic dictionaries?
How to pronounce numbers in Arabic?
The list of country names in Tongan.
The list of IPA symbols.
What are the named entities?
What is computational linguistics?
Learn how to use the built-in React hooks.
Learn how to use language codes in HTML.
Learn about SSML.
Browse the list of useful UX resources from Google.
Where to find the emoji SVG sources?.
What is Wikidata?
What's the correct markup for multilingual websites?
Learn more about event-driven architecture.
Where to find the list of all emojis?
How to embed YouTube into Markdown?
What is the Google Knowledge Graph?
Sequence logos visualize protein and nucleic acid motifs and patterns identified through multiple sequence alignment. They are commonly used widely to represent transcription factor binding sites and other conserved DNA and RNA sequences. Protein sequence logos are also useful for illustrating various biological properties of proteins. Create a sequence logo with Sequence Logo. Paste your multiple sequence alignment and the sequence logo is generated automatically. Use the sequence logo maker to easily create vector sequence logo graphs. Please refer to the Sequence Logo manual for the sequence logo parameters and configuration. Sequence Logo supports multiple color schemes and download formats.
Sequence Logo is a web-based sequence logo generator. Sequence Logo generates sequence logo diagrams for proteins and nucleic acids. Sequence logos represent patterns found within multiple sequence alignments. They consist of stacks of letters, each representing a position in the sequence alignment. Sequence Logo analyzes the sequence data inside the user's web browser and does not store or transmit the alignment data via servers.
Te Reo Maps is an online interactive Maori mapping service. All labels in Te Reo Maps are in Maori, making it the first interactive Maori map. Te Reo Maps is the world map, with all countries and territories translated into Maori. Please refer to the list of countries in Maori for the Maori translations of country names. The list includes all UN members and sovereign territories.
Phonetically is a web-based text-to-IPA transformer. Phonetically uses machine learning to predict the pronunciation of English words and transcribes them using IPA.
Punycode.org is a tool for converting Unicode-based internationalized domain names to ASCII-based Punycode encodings. Use punycode.org to quickly convert Unicode to Punycode and vice versa. Internationalized domains names are a new web standard that allows using non-ASCII characters in web domain names.
My Sequences is an online platform for storing and analyzing personal sequence data. My Sequences allows you to upload your genome sequences and discover insights and patterns in your own DNA.
Словообразовательный словарь «Морфема» дает представление о морфемной структуре слов русского языка и слов современной лексики. Для словообразовательного анализа представлены наиболее употребительные слова современного русского языка, их производные и словоформы. Словарь предназначен школьникам, студентам и преподавателям. Статья разбора слова «сладкоежка» по составу показывает, что это слово имеет два корня, соединительную гласную, суффикс и окончание. На странице также приведены слова, содержащие те же морфемы. Словарь «Морфема» включает в себя не только те слова, состав которых анализируется в процессе изучения предмета, но и множество других слов современного русского языка. Словарь адресован всем, кто хочет лучше понять структуру русского языка.
Разбор слова "кормушка" по составу.
Разбор слова "светить" по составу.
Разбор слова "сбоку" по составу.
Разбор слова "шиповник" по составу.
Разбор слова "народ" по составу.
Разбор слова "впервые" по составу.
Разбор слова "свежесть" по составу.
Разбор слова "издалека" по составу.
Разбор слова "лесной" по составу.