Fast Neural Machine Translation Model from Hiligaynon to German


Marian is an efficient, free Neural Machine Translation framework written in pure C++ with minimal dependencies. It is mainly being developed by the Microsoft Translator team. Many academic (most notably the University of Edinburgh and in the past the Adam Mickiewicz University in Poznań) and commercial contributors help with its development. It is currently the engine behind the Microsoft Translator Neural Machine Translation services and being deployed by many companies, organizations and research projects (see below for an incomplete list).

source languages: hil

target languages: de

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How to use

documentAssembler = DocumentAssembler()\ 

sentencerDL = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "xx")\ 

marian = MarianTransformer.pretrained("opus_mt_hil_de", "xx")\ 

val documentAssembler = new DocumentAssembler()

val sentence = SentenceDetectorDLModel.pretrained("sentence_detector_dl", "xx")

val marian = MarianTransformer.pretrained("opus_mt_hil_de", "xx")

import nlu
text = ["text to translate"]
translate_df = nlu.load('xx.Hiligaynon.translate_to.German').predict(text, output_level='sentence')

Model Information

Model Name: opus_mt_hil_de
Compatibility: Spark NLP 3.1.0+
License: Open Source
Edition: Official
Input Labels: [sentence]
Output Labels: [translation]
Language: xx

Data Source