[PDF] Top 20 The TALP UPC Phrase Based Translation System for EACL WMT 2009
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The TALP UPC Phrase Based Translation System for EACL WMT 2009
... ferent translation systems has proved to improve the translation accuracy (Kumar, ...MOSES-based system without pre-translation monotonization (baseline), (2) MOSES-based SMT ... See full document
5
Edinburgh’s Phrase based Machine Translation Systems for WMT 14
... indicator, phrase length, and count bin features (Blunsom and Os- borne, 2008; Chiang et ...al., 2009), a distortion limit of 6, maximum phrase-length of 5, 100-best trans- lation options, Minimum ... See full document
8
The TALP UPC Phrase Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering
... Independent analyzes of the improvement strategies show that the highest improvement comes from the CommonCrawl Filtering + Adap- tation strategy (system e). The second best strat- egy is the combination of the ... See full document
7
The TALP UPC Machine Translation Systems for WMT18 News Shared Translation Task
... the TALP-UPC research group participation in the WMT18 news shared translation task for Finnish- English and Estonian-English within the multi-lingual ...the translation quality of systems ... See full document
6
The TALP UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT
... While the English language presents simple morphology, Russian is morphologically rich and Kazakh is agglutinative. Therefore, the amount of surface forms in a word-level vocabulary of the two latter languages is very ... See full document
8
The TALP UPC Neural Machine Translation System for German/Finnish English Using the Inverse Direction Model in Rescoring
... this system description, we describe our par- ticipation on German-English and Finnish-English for the News ...Our system is a fully character- to-character neural MT (Lee et ...2016) system with ... See full document
5
MATREX: The DCU MT System for WMT 2009
... each system to tune the parame- ters of our system combination ...single system, i.e. the baseline Phrase-Based SMT ...English Translation and ...English–French ... See full document
5
The TALP–UPC Spanish–English WMT Biomedical Task: Bilingual Embeddings and Char based Neural Language Model Rescoring in a Phrase based System
... On the other hand, there have been several language models used for rescoring in SMT. For example, neural feed-forward language mod- els (Schwenk et al., 2006) have been used to rescore both n-gram-based and ... See full document
6
The JHU Machine Translation Systems for WMT 2017
... indicator, phrase length, and count bin features (Blunsom and Os- borne, 2008; Chiang et ...al., 2009), a distortion limit of 6, maximum phrase-length of 5, 100-best trans- lation options, compact ... See full document
7
The RWTH System Combination System for WMT 2009
... in system combination. For LM training, we took the system hypotheses for the same test corpus for which the consensus trans- lations are to be ...original system hypotheses, in most cases from the ... See full document
5
The TALP UPC phrase based translation systems for WMT12: Morphology simplification and domain adaptation
... the UPC participation in the WMT 12 evaluation ...are based on standard phrase- based Moses ...SMT system by adding new translation units learned from MT-output and ... See full document
8
The Universität Karlsruhe Translation System for the EACL WMT 2009
... that phrase table entries in- clude the same amount of punctuation marks, es- pecially quotation marks, in both source and tar- get ...the system variants. Table 3: Translation results for ... See full document
5
The TALP UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
... In this work, we focus on the most cur- rent state-of-the-art NMT architecture, the Trans- former (Vaswani et al., 2017), which shows sig- nificant performance improvements over tradi- tional sequence-to-sequence models. ... See full document
7
Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT
... We provided a web-based leaderboard that dis- played standings on the test data in real time, iden- tifying each submission by a pseudonymous han- dle known only to the team and instructors. Teams could upload ... See full document
14
A Rule Augmented Statistical Phrase based Translation System
... The main idea of the rule indexing algorithm is to index all string-based nodes in the source pat- tern of the RDL rule. Each node is represented using 3-tuple. They are ruleID, number of nodes in source pattern ... See full document
6
Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation
... machine translation, intuitively, the informative content words should be emphasized more for better adequacy of the translation ...tical translation approach does not take account how informative ... See full document
8
Statistical Phrase Based Post Editing
... databases, translation memories, machine translation and hu- man ...a translation memory of in- dividual sentence pairs from previously posted ads; another third of all text is typically found ... See full document
8
A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation
... Recall was reasonably high. However, the upper bound of recall was 100 percent because we used a multilingual corpus whose sentences were aligned to each other across all four languages, as described in Section 4.1. ... See full document
8
The Universitat d’Alacant hybrid machine translation system for WMT 2011
... hybrid system for the Spanish– English language pair built by following the strat- egy described ...initial phrase table was built from all the parallel corpora distributed as part of the WMT 2011 ... See full document
7
Bodo to English Machine Translation through Transliteration
... Machine Translation is a very important application of NLP that can translate a large amount of texts from one natural language to another using machine without the help of the human translators automatically and ... See full document
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