Trankit

* The issue 17 of loading customized pipelines has been fixed in this new release. Please check it out [here](https://trankit.readthedocs.io/en/latest/training.html#loading).
* In this new release, `trankit` supports conversion of trankit outputs in json format to CoNLL-U format. The conversion is done via the new function `trankit2conllu`, which can be used as belows:

from trankit import Pipeline, trankit2conllu

p = Pipeline('english')

document level
json_doc = p('''Hello! This is Trankit.''')
conllu_doc = trankit2conllu(json_doc)
print(conllu_doc)
1 Hello hello INTJ UH _ 0 root _ _
2 ! ! PUNCT . _ 1 punct _ _

1 This this PRON DT Number=Sing|PronType=Dem 3 nsubj _ _
2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _
3 Trankit Trankit PROPN NNP Number=Sing 0 root _ _
4 . . PUNCT . _ 3 punct _ _

sentence level
json_sent = p('''This is Trankit.''', is_sent=True)
conllu_sent = trankit2conllu(json_sent)
print(conllu_sent)
1 This this PRON DT Number=Sing|PronType=Dem 3 nsubj _ _
2 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _
3 Trankit Trankit PROPN NNP Number=Sing 0 root _ _
4 . . PUNCT . _ 3 punct _ _

:boom: :boom: :boom: Trankit v1.0.0 is out:

* **90 new pretrained transformer-based pipelines for 56 languages**. The new pipelines are trained with XLM-Roberta large, which further boosts the performance significantly over 90 treebanks of the Universal Dependencies v2.5 corpus. Check out the new performance [here](https://trankit.readthedocs.io/en/latest/performance.html). This [page](https://trankit.readthedocs.io/en/latest/news.html#trankit-large) shows you how to use the new pipelines.

* **Auto Mode for multilingual pipelines**. In the Auto Mode, the language of the input will be automatically detected, enabling the multilingual pipelines to process the input without specifying its language. Check out how to turn on the Auto Mode [here](https://trankit.readthedocs.io/en/latest/news.html#auto-mode-for-multilingual-pipelines). Thank you [loretoparisi](https://github.com/loretoparisi) for your suggestion on this.

* **Command-line interface** is now available to use. This helps users who are not familiar with Python programming language can use Trankit easily. Check out the tutorials on this [page](https://trankit.readthedocs.io/en/latest/commandline.html).