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LeadGuit's profile

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Such a list depends highly on the usage of your computer and your experience

I use i3 [1] (tiling WM), and never looked back - I can't force myself to use another DM/WM. But it's not for everyone. The wonderful thing about linux is choice - I can use something completely different than another person - tweaked just the way I like it. Why I chose a tiling WM? I work a LOT on the commandline (only exception is the webbrowser - everything else runs on my CLI). So I don't use my mouse very often - a "classic" interface would be wrong for me - I'm used to harness the power of keystrokes ;-) A window always fills the screen, a new one will automatically adjust, so both are open on the screen without overlapping - it's kind of difficult to explain. There are some geeky screenshots and videos on the i3wm homepage.

So - for everyone interested, try a tiling WM - there is a learning curve (depending on different aspects, it might be quite high) bit in my case it was worth it. I would not recommend it for beginners, the look and feel is extremely different.


I'm using it regularly.

The main reason I switched from WhatsApp was indeed the buy from facebook - I looked around and found Telegram to be a viable option.

So far I communicate with a lot of people via Telegram - altough they use Whatsapp too. The main issue is "Hey, have you got WhatsApp? - No. - What??" and while explaining Telegram, I find that the very reason I switched is not much of an issue for the others.

Other reasons I switched:

Desktop client

At the time I switched, there was no option to write a WhatsApp Message from my Computer - and since I'm sitting before this machine 80 % of my time, it was inconvenient to scram out my phone, type on the tiny keyboard, put the phone back into my pocket/onto the table and repeat until frustrated ^^ I needed some other means, Telegram delivered. With (now) Native Linux/Win/Mac Application and even a Commandline version - I'm pretty satisfied.

Open API

As a person who programs a lot, this was very interesting - doesn't matter much to non-programming folks, but to me it is. Why? Someone made an Commandline-Interface for Telegram, someone else made a Chatbot with that Commandline interface, I adapted this project for my personal needs (Calendar management of my band - who is away at which date etc.) - I'm free to do such stuff! And thats amazing. So is the creativity of other people - I don't need to be a programmer to enjoy such stuff.


Private Chats between peers, which happen to be encrypted - nice to have. Although I read somewhere, that the encryption (MTP Protocol) is weak in a way, it's better than nothing.

I'm looking forward to more features and stuff, to make more people switch to Telegram. The ultimate thing would be (for me) a self-hosted Telegram-Server, which I can integrate into my normal App - so I can have e.g. Company-Intern Chats within the same App as my other Chats (think of Slack - but integrated)

I'm sorry for the missing sources, I didn't have the time to search everything.

Depends on the job ;-)

For all non-computational linguists I'll go ELI5 on this:

For machine translation I work mostly with the moses toolkit[1] with IRSTLM as language model. This toolkit is made for statistical machine translation - so you need a lot of data and a parallel corpus (identical texts in both languages e.g. stuff you find in those little "phrases for travelling" booklets). If you're running a Unix-System it's pretty easy to get started (baseline) - you can use the europarl-corpus for some nice experiments (what about your own Portuguese-German translator? ;-)

There is also a pretty nice tollkit named "apertium"[2] - this is about rule-based MT, so you don't need a lot of data, but you need a comprehensive grammar (constisting of a lexicon and grammar rules).

For other stuff I do there are tons of different methods and approaches each- from formal/funcitonal grammar up to machine learning/deep learning techniques (Naïve Bayes classifier, Support vector machines etc.)

If you're (or others) are interested, I could post some interesting links for Natural Language Processing (maybe a new Tag for that?)



This XKCD hangs right on the wall in the office of a collegue ;-)

Computational Linguistics, atm especially Corpus based analysis of a broad set of websites to analyse the use of words, sentence structures and so on.

2 pretty interesting parts of CL I had worked in were;

The analyses of a company by analyzing their internal documents (somewhat - depending on whats classified) - namely all the revision. So to see how a company functions (Who reviewed what and when, what changes did he made linguistically and conerning the content) - and therefore be able e.g. to give advice to the companys leadership.

Machine Translation for minor languages e.g. Spanish -> Quechua. That was pretty interesting since I'm not fluid in either language.

Hi there,

I'm sorry, I'm not familiar with these sources (I'm not an american) - so may I ask the following:

- How trustworthy are these sources ( /

- How biased are these sources / is there a lot of interpretation involved?

- Could someone be kind enough to provide a link to this document the article talks about, so we can read-up if needed.

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