Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set) - Info and Reading Options
By Maarten van Gompel and Antal van den Bosch
“Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” Metadata:
- Title: ➤ Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)
- Authors: Maarten van GompelAntal van den Bosch
Edition Identifiers:
- Internet Archive ID: ➤ academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16
AI-generated Review of “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)”:
"Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)" Description:
The Internet Archive:
We present a series of experiments focusing on the modelling of source-side context to improve Phrase-based Statistical Machine Translation. Statistical Machine Translation systems typically consist of a translation model and a language model. The former maps phrases in the source language to the target language, without regard for the context in which the source phrases occur. The latter models just the target language, and acts as a target-side model of context information after translation. We attempt to independently reproduce a line of existing research and test whether considering context information directly in the translation model has a positive effect on translation quality. We furthermore investigate various ways discriminative classifier-based models can be integrated into Statical Machine Translation. We will use proven techniques from Word Sense Disambiguation, effectively integrating these techniques in Statistical Machine Translation. Our approach is language-independent and knowledge-poor: we do not employ any explicit linguistic features computed by part-of-speech taggers, word sense disambiguation systems, supertaggers, or parsers, as used by previous work. We find only limited improvement of translation quality for certain formulaic corpora and conclude that explicit modelling of source-side context information does not add much to the data already implicitly available in the decode process.
Read “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)”:
Read “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” by choosing from the options below.
Available Downloads for “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)”:
"Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)" is available for download from The Internet Archive in "data" format, the size of the file-s is: 174.54 Mbs, and the file-s went public at Sun Aug 12 2018.
Legal and Safety Notes
Copyright Disclaimer and Liability Limitation:
A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.
B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.
C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.
D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.
E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.
Virus Scanning for Your Peace of Mind:
The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:
How to scan a direct download link for viruses:
- 1- Copy the direct link to the file you want to download (don’t open it yet). (a free online tool) and paste the direct link into the provided field to start the scan.
- 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
- 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
- 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.
Available Downloads
- Source: Internet Archive
- All Files are Available: Yes
- Number of Files: 8
- Number of Available Files: 8
- Added Date: 2018-08-12 21:46:47
- Scanner: Internet Archive Python library 1.8.1
Available Files:
1- Unknown
- File origin: original
- File Format: Unknown
- File Size: 0.17 Mbs
- File Name: Language-independent classifier-based modelling of source-side context information in Statistical Machine Translation (Data set)
- Direct Link: Click here
2- Unknown
- File origin: original
- File Format: Unknown
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16.bib
- Direct Link: Click here
3- BitTorrent
- File origin: original
- File Format: BitTorrent
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16_academictorrents.torrent
- Direct Link: Click here
4- BitTorrentContents
- File origin: original
- File Format: BitTorrentContents
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16_academictorrents_torrent.txt
- Direct Link: Click here
5- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16_files.xml
- Direct Link: Click here
6- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16_meta.sqlite
- Direct Link: Click here
7- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16_meta.xml
- Direct Link: Click here
8- Archive BitTorrent
- File origin: metadata
- File Format: Archive BitTorrent
- File Size: 0.00 Mbs
- File Name: academictorrents_3cc11d076c62bfa0480afc187a4bb6e4759e5c16_archive.torrent
- Direct Link: Click here
Search for “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” in Libraries Near You:
Read or borrow “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” from your local library.
Buy “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” online:
Shop for “Language-independent Classifier-based Modelling Of Source-side Context Information In Statistical Machine Translation (Data Set)” on popular online marketplaces.
- Ebay: New and used books.