Translate Afrikaans to Swedish Pipeline

Description

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: af

target languages: sv

Live Demo Open in Colab Download Copy S3 URI

How to use

from sparknlp.pretrained import PretrainedPipeline 
pipeline = PretrainedPipeline("translate_af_sv", lang = "xx") 
pipeline.annotate("Your sentence to translate!")

import com.johnsnowlabs.nlp.pretrained.PretrainedPipeline
val pipeline = new PretrainedPipeline("translate_af_sv", lang = "xx")
pipeline.annotate("Your sentence to translate!")

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

Model Information

Model Name: translate_af_sv
Type: pipeline
Compatibility: Spark NLP 3.1.0+
License: Open Source
Edition: Official
Language: xx

Data Source

https://github.com/Helsinki-NLP/OPUS-MT-train/tree/master/models

Included Models

  • DocumentAssembler
  • SentenceDetectorDLModel
  • MarianTransformer