M. Yusuf Sarıgöz

Hi @usimarit! Thanks for such a great project and your support to boost visibility of this issue 😻 So I will start by writing a helper script to automatically download...

Hi @usimarit, yeah I know that training with subwords yields a better performance, but I'm automatically generating an alphabet file in #92 for those who want to use characters anyway.

@usimarit Grat. I've been quite busy for some time, but I'll be more active in this repo on following days and contribute pretrained models in other languages. Thanks

Hi @JStumpp I started to train it and hope to release it next week.

@usimarit great! I'm trying to fully understand how the whole package comes together to implement the method in the simplest way. PR will come when it's ready. I believe that...

you can use orm.enforce.unique() (...)   email : [orm.enforce.required(), orm.enforce.notEmptyString(), orm.enforce.patterns.email(), orm.enforce.unique()],  (...)

It seems that orm.enforce.unique() does not work for mongodb, either. Instead, I hookked to beforeCreate as in the following: beforeCreate: function(next) { db.models.user.exists({email: this.email}, (err, exists) => { if(exists) return...

Should we do so before the publication? My point was create separate subsections by use case under the applications section once we have more content, but we can list them...

`Are` you using a element? use something like this instead: open Modal

Hi @chenmoneygithub, I can provide implementations for greedy search and beam search if you are interested.