I am working on a front-end solution for translating text on Google Cloud platform. I want to know what is the technology behind the front-end of apps like deepl?
Which cloud components do they use to efficiently translate the text as the user types new characters inside the input field?
Translator services like Google Translate, or the one you mentioned, are normally built on top of many different software components, layers and servicers (quite often also involving ML/NLU etc).
If you are a frontend developer looking for an easy way to translate UIs or some user input, have a look to Google Translate API. Be aware of free quotas and prices.
Related
To use Google's Speech API directly it is now required that you obtain an API key. To get that key you must subscribe to the chromium-dev#chromium.org newsgroup, and then follow a few steps and Google will give you a developer's key that is "not for distribution." The key is rate limited for 50 requests/day.
For example, node-google-speech-api outlines the need for having this key for a node application to access Google's Speech API directly (without the use of a browser):
https://github.com/psirenny/node-google-speech-api
There are also PHP libraries and Java libraries for accessing Google's Speech API, also requiring this key.
I would like to write a desktop application that utilizes Google's speech recognition technology, but the 50 requests/day limit is unacceptable for wide distribution and even for a single desktop deployment of my envisioned software. I see up to 500 requests/day by an individual desktop user if the voice recognition is broken up somehow, and most of these would probably be long-polling/continuous so maybe it'd only be 2 or 3 requests/day but hours at a time. Multiply that by a few hundred users and I'd be easily exceeding 50 requests/day.
I was trying to think of a way to access Google's superior speech recognition technology on the desktop in my own app (language doesn't matter but node.js would likely be part of the mix so a node.js solution would be preferred) without this limit and that brought me to consider the Web Speech API standard which Google Chrome happens to implement.
As far as I know, there is not a hard request/day limit imposed on Google Chrome's implementation of the Web Speech API, and I could happily write websites that used Web Speech API all day long without or with minimal restrictions compared to Google Speech API direct. This brought me to thinking, what if I distributed a Chrome (not Chromium) browser, so the bonafide Google Chrome browser, but added an "extension" to it that allowed javascript within a custom html5 web page to interface with other applications on the client's system (ie a Node.js app running alongside this special installation of Chrome) and wrote my speech recognition portion in Javascript, Web Speech API style, and piped the output into the other application I design and have installed on clients' systems.
Would/could that work?
What are the pitfalls of this approach?
Do you have suggestions of another approach or would you perhaps recommend a commercially-licensed solution that is comparable to the ease of use and extreme natural language accuracy of Google's speech technology?
One possible approach to try is a Chrome App
It will run in a sandboxed instance of Chrome and will be implemented with HTML + Javascript.
To the user it will look just like a desktop application.
I'm in the planning stages of a web app that is intended to help children learn vocabulary. We would like to make the app as interactive as possible. For example, we would show a picture of an apple and ask the child to identify the object. The child would then say "apple" and we would determine whether they are correct, etc.
The new Web Speech API seems like a promising tool for this project. However, looking through the documentation, I believe it will only produce transcripts from speech (i.e. it cannot match a spoken word to a known word and produce a confidence value – at least not out of the box).
Does anyone have experience with leveraging the Web Speech API in this way (or any other API for that matter)? I'm trying to stick to technologies that can run in the browser, if possible.
Try ispikit.com, it's way more suitable for your needs, it's specifically designed for education tasks and works in a browser on a client side. Web Speech API is not designed for detection, so you will not be able to use it.
I am trying to build a search engine comparison tool between bing and google that will analyze which of the top n results are matching. Since I don't have much web-development experience, (most of my experience lies in Windows Application development and lower level stuff.) I was wondering if somebody could point me in the right direction. I'm guessing that one way of doing this would be to download the search results and somehow find all of the links which are results and then comparing them.
What language can I use to do this?
You could use a language of your choice and build upon APIs. Bing already has one
Although Google doesn't have a direct search API (at least none that I know of), if you are a student planning to do some research, you can sign up for their university program and they'll expose you an API. Trying to download the page and parsing it would be difficult, since Google uses some security measures to avoid direct crawls.
I'm doing a language web site for my university language center, where students login and see videos to learn English. i have to do it like this,
person is logging in to the system, search using a search area and find the details,lessons and videos relevant to that videos. this functionality exactly matches the youtube scenario.
for implementing twitter like functionality we can use status-net, is there a similer library, statusnet like famous implementation for youtube or a some kind of platform or a framework like codeigniter that we can use to implement youtube like site very easily??
please suggest some options?? a open source one or a commercial one ???
and what is the best video format to use in a such web site?? flv?? mp4?? or mov???
regards,
Rangana
Your best option is to use a 'cloud' based video processing service. Most have a sample project / library for many different languages and frameworks. Here is a list of a few I've tried and liked:
http://zencoder.com/
http://transloadit.com/
http://pandastream.com/
The typical steps involve uploading the video files to a large 'cloud' static asset host (such as S3) through the browser. If you are inexperienced it is best to select a processor that provides an uploader (it will handle putting the files in the right spot). Of the three, Transloadit and Panda both have custom unloaders.
Usually the service will allow you to either pass the encoding settings (what formats and qualities to) output to as parameters or configure them in your account. To support all current HTML5 browsers you just need H264 (.m4a) and OGG (.ogv). However, the new trend in the video world is for WEBM (.webm) so you might want to include it as well.
Next you will receive a unique code from the web service that you must store in persistent storage (database). The web service can be configured to 'callback' (perform an HTTP POST or GET request to your service) once the video is encoded.
Once your recieve a callback you can activate your video and start dislpaying it on your pages. For displaying, if you are inexperienced I'd highly recommend you use one of the following players:
http://sublimevideo.net/
http://longtailvideo.com/
http://videojs.com/
They all do similar things for different prices. My current personal favourite is Sublime Video (it offers cool light box effects and a gorgeous player).
Why do you have to re-implement Youtube when you can just use it for hosting your videos for free? Many online e-learning portals (e.g. Khan academy) do exactly that.
As far as the best video format to use -- go read about H.264/AVC. It's what Youtube currently uses.
I think you will not find already built solution ;)
But it's not really that hard. You can use existing frameworks that will make your life easier while you build account management system, the rest shouldn't be really that hard (assuming you don't really want to re-build the whole Youtube ;D ).
For playing videos, you can use JW Player. A great piece of software, you should check it out.
I am working on a website that currently has a number of disparate search functions, for example:
A crawl 'through the front door' of the website
A search that communicates with a web-service
etc...
What would be the best way to tie these together, and provide what appears to be a unified search function?
I found the following list on wikipedia
Free and open source enterprise search software
Lucene and Solr
Xapian
Vendors of proprietary enterprise search software
AskMeNow
Autonomy Corporation
Concept Searching Limited
Coveo
Dieselpoint, Inc.
dtSearch Corp.
Endeca Technologies Inc.
Exalead
Expert System S.p.A.
Funnelback
Google Search Appliance
IBM
ISYS Search Software
Microsoft (includes Microsoft Search Server, Fast Search & Transfer):
Open Text Corporation
Oracle Corporation
Queplix Universal Search Appliance
SAP
TeraText
Vivísimo
X1 Technologies, Inc.
ZyLAB Technologies
Thanks for any advice regarding this.
Solr is an unbelievably flexible solution for search. Just in the last year I coded 2 solr-based websites and worked on a third existing one, each worked in a very different way.
Solr simply eats XML requests to add something to index, and XML requests to search for something inside an index. It doesn't do crawling or text extraction for you, but most of the time these are easy to do. There are many existing addons to Solr/Lucene stack so maybe something for you already exists.
I would avoid proprietary software unless you're sure Solr is insufficient. It's one of the nicest programs I've worked with, very flexible when you need it and at the same time you can start in minutes without reading long manuals.
Note that no matter what search solution you use, a search setup is "disparate" by nature.
You will still have an indexer, and a search UI, or the "framework".
You WILL corner yourself by marrying a specific search technology. You actually want to have the UI as separate from the search backend as possible. The backend may stop to scale, or there may be a better search engine out there tomorrow.
Switching search engines is very common, so never - ever - write your interface with a specific search engine in mind. Always abstract it, so the UI is not aware of the actual search technology used.
Keep it modular, and you will thank yourself later.
By using a standard web services interface, you can also allow 3rd parties to build stuff for you, and they won't have to "learn" whatever search engine you use on the backend.
Take a look at these similar questions:
Best text search engine for integrating with custom web app?
How do I implement Search Functionality in a website?
My personal recommendation: Solr.
All these companies offer different features of Universal Search. Smaller companies carved themselves very functional and extremely desired niches. For example Queplix enables any search engine to work with structured data and enterprise applications by extracting the data, business objects, roles and permissions from all indexed applications. It provides enterprise-ranking criteria as well as data-compliance alerts.
Two other solutions that weren't as well-known &/or available around the time the original question was asked:
Google Custom Search - especially since the disable public URL option was recently added
YaCy - you can join the network or download and roll your own independent servers