Whenever I come back to LA, I always feel like I’m home, and tonight I’m back home to commemorate Jewish storytelling and Jewish history through film and to talk about how ADL is harnessing the power of culture and media to address the very real crisis in this moment of antisemitism. This is the community where my business career got started, where I met my wife, and where our children were born. You know, I’m so happy to be back here in Los Angeles. In addition to being a longtime friend of ADL, he is Chairman and CEO of East West Bank and I’m proud that ADL and East West Bank recently launched a new multi-year partnership, supporting our local work here in LA to combat hate in all its forms. Congrats to Ynon and everyone at the company for their extraordinary success this past summer with Barbie, a groundbreaking film on so many levels.įinally, I want to acknowledge Dominic Ng, who serves on the Mattel board as well as the board of this museum. All of us at ADL are proud to work closely with them and I’m particularly delighted that UTA CEO Jeremy Zimmer is able to join us tonight.īig kudos to Mattel Chairman and CEO Ynon Kreiz who hosted me just yesterday for a terrific town hall at Mattel’s amazing Headquarters in El Segundo. I want to lift up our friends from UTA who are here. Bill, I’m so excited for what we will do together in the years ahead as the relationship between ADL and the Academy takes shape. I want to thank Bill Kramer, CEO of the Academy of Motion Picture Arts and Sciences, who is hosting us here at the incredible space at the Academy Museum of Motion Pictures. A special shout out to the members of ADL’s Entertainment Leadership Council who also are here in the room.
So let me start by thanking a few people who are here.įirst, I want to recognize ADL Board Chair Ben Sax who is here from New York, here with his wife Holly and their children, along with all the members of our national board of directors and the members of our regional board who are based here in LA who have joined us this evening.
To learn more, see the privacy policy.As delivered on Septemin Los Angeles, CaliforniaĪs I look around the room, I feel tremendous gratitude, not only because of our shared values but because we can’t do our work alone and I see so many familiar faces.
#Culture change synonym code
Special thanks to the contributors of the open-source code that was used in this project: Elastic Search, WordNet, and note that Reverse Dictionary uses third party scripts (such as Google Analytics and advertisements) which use cookies.
#Culture change synonym free
The definitions are sourced from the famous and open-source WordNet database, so a huge thanks to the many contributors for creating such an awesome free resource. In case you didn't notice, you can click on words in the search results and you'll be presented with the definition of that word (if available). For those interested, I also developed Describing Words which helps you find adjectives and interesting descriptors for things (e.g. So this project, Reverse Dictionary, is meant to go hand-in-hand with Related Words to act as a word-finding and brainstorming toolset. That project is closer to a thesaurus in the sense that it returns synonyms for a word (or short phrase) query, but it also returns many broadly related words that aren't included in thesauri. I made this tool after working on Related Words which is a very similar tool, except it uses a bunch of algorithms and multiple databases to find similar words to a search query. So in a sense, this tool is a "search engine for words", or a sentence to word converter. It acts a lot like a thesaurus except that it allows you to search with a definition, rather than a single word. The engine has indexed several million definitions so far, and at this stage it's starting to give consistently good results (though it may return weird results sometimes). For example, if you type something like "longing for a time in the past", then the engine will return "nostalgia". It simply looks through tonnes of dictionary definitions and grabs the ones that most closely match your search query.
The way Reverse Dictionary works is pretty simple.
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