Аударма моделі

AbstractA new system for statistical natural language translation for languages with similar grammar is introduced. Specifically, it can be used with Romanic Languages, such as French, Spanish or Catalan. The …...

This paper presents example-based machine translation (MT) based on syntactic trans- fer, which selects the best translation by us- ing models of statistical machine translation. Example-based MT sometimes generates in- …...

In this work we propose a transla- tion model for monolingual sentence retrieval. We propose four methods for constructing a parallel corpus. Of the four methods proposed, a lexi- con …...

This paper provides a description of TALP-Ngram, the tuple-based statistical machine translation system devel- oped at the TALP Research Center of the UPC (Univer- sitat Polit`ecnica de Catalunya). Briefly, the …...

We present a novel translation model based on tree-to-string alignment template (TAT) which describes the alignment be- tween a source parse tree and a target string. A TAT is capable …...

This paper proposes a novel method for phrase-based statistical machine translation by using pivot language. To conduct trans- lation between languages Lf and Le with a small bilingual corpus, we …...

Translation model size is growing at a pace that outstrips improvements in computing power, and this hinders research on many interesting models. We show how an al- gorithmic scaling technique …...

We describe a class of translation model in which a set of input variants encoded as a context-free forest is translated using a finite- state translation model. The forest structure …...

We present a new translation model that include undecorated hierarchical-style phrase rules, decorated source-syntax rules, and partially decorated rules. Results show an increase in translation performance of up to 0.8% …...

Maximum Entropy Principle has been used successfully in various NLP tasks. In this paper we propose a forward transla- tion model consisting of a set of maxi- mum entropy classifiers: …...

This paper describes our phrase-based Sta- tistical Machine Translation (SMT) sys- tem for the WMT10 Translation Task. We submitted translations for the German to English and English to German transla- …...

In this paper we address the problem of ques- tion recommendation from large archives of community question answering data by ex- ploiting the users’ information needs. Our experimental results indicate …...

We present a translation model enriched with shallow syntactic and semantic information about the source language. Base-phrase la- bels and semantic role labels are incorporated into an hierarchical model by …...

This paper presents a proposed method integrated with three statistical models including Translation model, Query generation model and Document retrieval model for cross-language document retrieval. Given a certain document in …...

The performance of Phrase-Based Statis- tical Machine Translation (PBSMT) sys- tems mostly depends on training data. Many papers have investigated how to cre- ate new resources in order to increase …...

This paper describes LIMSI’s submissions to the shared translation task. We report results for French-English and German-English in both directions. Our submissions use n-code, an open source system based on …...

We investigate the problem of domain adaptation for parallel data in Statistical Machine Translation (SMT). While tech- niques for domain adaptation of monolin- gual data can be borrowed for parallel …...

While domain adaptation techniques for SMT have proven to be effective at im- proving translation quality, their practical- ity for a multi-domain environment is of- ten limited because of the …...

We present a novel approach for translation model (TM) adaptation using phrase train- ing. The proposed adaptation procedure is ini- tialized with a standard general-domain TM, which is then used …...

We present a novel translation model, which simultaneously exploits the constituency and dependency trees on the source side, to com- bine the advantages of two types of trees. We take …...

This paper describes adapting statistical machine translation (SMT) systems to medical domain using in-domain and general-domain data as well as web- crawled in-domain resources. In order to complement the limited …...

Domain adaptation for statistical machine translation is the task of altering general models to improve performance on the test domain. In this work, we suggest several novel weighting schemes based …...

Compared to tree grammars, graph gram- mars have stronger generative capacity over structures. Based on an edge re- placement grammar, in this paper we pro- pose to use a synchronous …...

We propose a novel pipeline for translation into morphologically rich languages which consists of two steps: initially, the source string is enriched with target morphological features and then fed into …...

Translated texts (in any language) are so markedly different from original ones that text classification techniques can be used to tease them apart. Previous work has shown that awareness to …...

We explore the use of the orthographic syl- lable, a variable-length consonant-vowel se- quence, as a basic unit of translation between related languages which use abugida or alpha- betic scripts. …...

AbstractThis paper presents ProphetMT, a tree-based SMT-driven Controlled Language (CL) authoring and post-editing tool. ProphetMT employs the source-side rules in a translation model and provides them as auto-suggestions to users. …...

AbstractNeural Machine Translation (NMT) typically leverages monolingual data in training through backtranslation. We investigate an alternative simple method to use monolingual data for NMT training: We combine the scores of …...

AbstractWe analyze the learning dynamics of neural language and translation models using Loss Change Allocation (LCA), an indicator that enables a fine-grained analysis of parameter updates when optimizing for the …...

AbstractThis paper explores a special case in multilingual machine translation: so called multi-parallel translation, where the target data for all language pairs are identical. While multi-parallelism offers benefits which are …...

AbstractBiomedical data and benchmarks are highly valuable yet very limited in low-resource languages other than English, such as Vietnamese. In this paper, we use a state-of-the-art translation model in English-Vietnamese …...

AbstractThis work presents an unsupervised method of selecting filters and threshold values for the OpusFilter parallel corpus cleaning toolbox. The method clusters sentence pairs into noisy and clean categories and …...