How to add language support for full text search? - mongodb

I want implement support of full text search for some language (Ukrainian) in MongoDB. What resources I must provide (or make)? Do I need to make some changes in Mongo sources?

Ukrainian stop-words are not currently supported. For Cyrillic, Russian so far
Here you have the listing of fully supported languages:
https://docs.mongodb.com/manual/reference/text-search-languages/

Related

Does Watson NLU support Hebrew?

does Watson NLU support Hebrew, including entities, sentiments? couldnt find it in the documentation
thanks very much
Lior
Lior, according to the documentation not. Not yet.
But, I can suggest to you use one Language Translator for using this API with Hebrew and translate to English for using each feature(English has more features available).
In the official documentation has one list of the Supported languages.
The following table shows the supported languages for each feature. Natural Language Understanding automatically detects the language of your source text by default. You can override automatic language detection if you want to specify the language manually.
Supported languages:
See the Official reference here.
You can see this article about other's API's and Supported languages. [Last Update: 24th of April 2017]
No it doesn't. It is very clear in the documentation.You can find it here.
https://console.bluemix.net/docs/services/natural-language-understanding/language-support.html#language-support
At the time of this post, the compatible languages are:
Arabic
Dutch
English
French
German
Italian
Japanese
Korean
Portuguese
Russian
Spanish
Swedish
Currently, English is the only language that supports all functions provided by Watson NLU. The rest have limited support.

How to implement full text search in NoSQL database?

Has anyone tried to deploy NoSQL database with Full Text Search feature?
I read a lot of topics here in StackOverFlow and some other sites but they were all in 2011 and 2012 which I think there are a lot of updates to this moment.
I have a project that requires a full text search feature and I am trying to pick the right NoSQL database.
I am thinking also of ElasticSearch and Solr to enable this feature?
Is MongoDB Full Text Search Feature working fine? or it has performance and scalability issues?
Thanks,
Elasticsearch is working pretty good. You can use analyzers to stem your text. Also you can store your data in JSON format. It has "match_phrase" function allowing you to make full text search in a field that you want to search. Take a look at that.You can find documentations here : https://www.elastic.co/guide/en/elasticsearch/reference/current/search-search.html
The MongoDb full text search feature works well from version 2.6, however, its full text search feature relies on a text index and you can only add one such index per collection. Depending on your exact requirements, this may be too limiting. Check the MongoDB documentation for more details. If you need a more flexible full text search functionality, Elasticsearch will be a better option.

Feature multi language joomla 1.5

I would like to know if there any extensions that meet my requirement below for joomla multilanguage:
Detect language automatically based on location (GeoIP)
Automatically translate content without input two or more translation content
can have prefix url like domain.com/en/ or domain.com/es/, etc.
Please let me know if there any suits extension above features.
Thanks alot.
JoomFish automatically detect language for your location, and Joomfish makes prefixes like you need (domain.com/en or domain.com/fr), but I believe there is no any extensions to translate your content automatically...

Convert Zend framework website language?

Hello I am a newbie to Zend Framework. I want to convert a website constructed in English language using Zend Framework to Ukrainian language.
Can anyone help me out what to do?
Thanks in advance.
Make sure you website supports internationalization, so all UI strings can be localized via translate() helper and Zend_Translate.
If your website already has more than one language - in most cases you should not care about this step.
Extract all UI strings into translation resource file (Gettext .po, TMX, xliff, etc..)
Hire translator to perform actual translation for you, or do that on your own.
Deploy new resource to website and make sure the locale is getting recognized for your language (or do the manual language switch link)
Your question is very general and I'm not sure on which step you need an assistance. Generally localization into Ukrainian language should not have any special cases. Follow any of numerous HOWTOs on ZF website localization for any other languages you can find on the Internet.

Translation-oriented CMS/Wiki/HelpPortal systems?

We need to run a help portal for users of our application. We want every page to be accesible in several languages.
I want to find a content-management system which would have rich translation features, such as:
Per-paragraph translation;
Warnings for translated content that wasn't updated after a change was made to another language;
Possibility to choose whether to show or hide paragraphs/pages which are not translated;
Easy and user-friendly switching between languages (e.g. "this page is accessible in the following other languages: ...").
I found a MediaWiki plugin which allows at least some of the above mentioned. Are there any CMSes with native orientation for translations and multilingual content?
The Daisy CMS has great built-in translation support.
Break your content into sections and translate them individually, or whole pages at a time.
You can run a report that tells you which documents have translations that are out of sync with the base language, and which documents don't have translations at all. You can then translate inside the app or export for offline translation and import later.
You can exclude untranslated pages and paragraphs from the locale-specific navigation automatically.
The menu will automatically show the user which languages are available for a specific page.