bitextor VS nematus

Compare bitextor vs nematus and see what are their differences.

bitextor

Bitextor generates translation memories from multilingual websites (by bitextor)
document-aligner apertium Dictionaries Crawler wget hunalign sentence-segmentation Tokenizer bicleaner Tmx warc corpus-tools corpus-processing corpus-generator parallel-corpora machine-translation neural-machine-translation statistical-machine-translation bitextor bleualign
Source Code
bitextor.readthedocs.io
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nematus

Open-Source Neural Machine Translation in Tensorflow (by EdinburghNLP)
neural-machine-translation sequence-to-sequence machine-translation nmt mt
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bitextor nematus
2 1
279 796
0.7% 0.0%
5.9 0.0
8 months ago over 1 year ago
Python Python
GNU General Public License v3.0 only BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

bitextor

Posts with mentions or reviews of bitextor. We have used some of these posts to build our list of alternatives and similar projects.

nematus

Posts with mentions or reviews of nematus. We have used some of these posts to build our list of alternatives and similar projects.
  • Can I connect docker to Google Cloud's GPU?
    1 project | /r/docker | 21 Mar 2021
    Sorry if the title is not so clear, I am still very new to Docker and linux/bash scripts. For a project, I want to run a data science model that I have found on github (specifically this one: https://github.com/EdinburghNLP/nematus). However, given the huge amount of data that I want to train, I will need to run this model using GPU (and the only GPU I have access to at the moment is the ones provided by Google Cloud).

What are some alternatives?

When comparing bitextor and nematus you can also consider the following projects:

ArchiveBox - 🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...

OpenSeq2Seq - Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Hebrew-Tokenizer - A very simple python tokenizer for Hebrew text.

OpenNMT-py - Open Source Neural Machine Translation and (Large) Language Models in PyTorch

grab-site - The archivist's web crawler: WARC output, dashboard for all crawls, dynamic ignore patterns

stopes - A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

sentence-splitter - Text to sentence splitter using heuristic algorithm by Philipp Koehn and Josh Schroeder.

packaging - Debian, Fedora, Windows, macOS packaging scripts for Apertium, HFST, CG-3, and related techs.

machinetranslate.org - Open information and community for machine translation

bitextor vs ArchiveBox nematus vs OpenSeq2Seq bitextor vs trankit nematus vs NeMo bitextor vs Hebrew-Tokenizer nematus vs OpenNMT-py bitextor vs grab-site nematus vs stopes bitextor vs sentence-splitter bitextor vs OpenNMT-py bitextor vs packaging bitextor vs machinetranslate.org