This is the Windows app named UnsupervisedMT whose latest release can be downloaded as UnsupervisedMTsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named UnsupervisedMT with OnWorks for free.
Ikuti petunjuk ini untuk menjalankan aplikasi ini:
- 1. Download aplikasi ini di PC Anda.
- 2. Masuk ke file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan username yang anda inginkan.
- 3. Upload aplikasi ini di filemanager tersebut.
- 4. Mulai emulator online OS OnWorks apa pun dari situs web ini, tetapi emulator online Windows yang lebih baik.
- 5. Dari OS Windows OnWorks yang baru saja Anda mulai, buka file manager kami https://www.onworks.net/myfiles.php?username=XXXXX dengan nama pengguna yang Anda inginkan.
- 6. Unduh aplikasi dan instal.
- 7. Unduh Wine dari repositori perangkat lunak distribusi Linux Anda. Setelah terinstal, Anda kemudian dapat mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga dapat mencoba PlayOnLinux, antarmuka mewah di atas Wine yang akan membantu Anda menginstal program dan game Windows populer.
Wine adalah cara untuk menjalankan perangkat lunak Windows di Linux, tetapi tidak memerlukan Windows. Wine adalah lapisan kompatibilitas Windows sumber terbuka yang dapat menjalankan program Windows secara langsung di desktop Linux apa pun. Pada dasarnya, Wine mencoba untuk mengimplementasikan kembali Windows dari awal sehingga dapat menjalankan semua aplikasi Windows tersebut tanpa benar-benar membutuhkan Windows.
Tangkapan layar
Ad
MT Tanpa Pengawasan
DESKRIPSI
Unsupervised Machine Translation is a research repository that implements both phrase-based SMT and neural MT approaches for translation without parallel corpora. The neural component supports multiple architectures—seq2seq, biLSTM with attention, and Transformer—and allows extensive parameter sharing across languages to improve data efficiency. Training relies on denoising auto-encoding and back-translation, with on-the-fly, multithreaded generation of synthetic parallel data to continually refresh supervision signals. The project also provides scripts to fetch and preprocess monolingual data, learn BPE codes, and train cross-lingual embeddings that bootstrap unsupervised alignment between languages. Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training.
Fitur
- Neural MT with seq2seq, biLSTM+attention, and Transformer architectures
- Parameter sharing across encoders/decoders and embeddings for multiple languages
- Denoising auto-encoder training and back-translation with on-the-fly generation
- Utilities to download, tokenize, BPE, and binarize large monolingual corpora
- Cross-lingual embeddings via fastText or alignment methods to initialize models
- Unsupervised PBSMT pipeline with automated Moses training and evaluation
Bahasa Pemrograman
Python, Unix Shell
KATEGORI
This is an application that can also be fetched from https://sourceforge.net/projects/unsupervisedmt.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.