Articles

We investigate techniques for generating al- ternative output sentences with varying sen- timent, using (an approximation to) the Valentino method, based on SentiWordNet, of Guerini et al. We extend this method by filter- ing out unacceptable candidate sentences, us- ing bigrams sourced from different corpora to determine whether lexical substitutions …...

Though data-driven in nature, emotion analy- sis based on latent semantic analysis still relies on some measure of expert knowledge in or- der to isolate the emotional keywords or key- sets necessary to the construction of affective categories. This makes it vulnerable to any discrepancy between the ensuing taxonomy of …...

We present a general method for incorporating an “expert” model into a Statistical Machine Transla- tion (SMT) system, in order to improve its perfor- mance on a particular “area of expertise”, and ap- ply this method to the specific task of finding ade- quate replacements for Out-of-Vocabulary (OOV) words. Candidate …...

Syntactic reordering has been demon- strated to be helpful and effective for han- dling different word orders between source and target languages in SMT. However, in terms of hierarchial PB-SMT (HPB), does the syntactic reordering still has a signif- icant impact on its performance? This paper introduces a reordering approach …...

The problem of language model adaptation in statistical machine translation is consid- ered. A mixture of language models is employed, which is obtained by clustering the bilingual training data. Unsupervised clustering is guided by either the devel- opment or the test set. Different mixture weight estimation schemes are proposed and …...

In recent years the performance of SMT increased in domains with enough train- ing data. But under real-world conditions, it is often not possible to collect enough parallel data. We propose an approach to adapt an SMT system using small amounts of parallel in-domain data by introducing the corpus identifier …...

Source language reordering can be seen as the preprocessing task of permuting the or- der of the source words in such a way that the resulting permutation allows as mono- tone a translation process as possible. We explore a simple but effective source re- ordering algorithm that works as a …...

Corpus driven machine translation ap- proaches such as Phrase-Based Statistical Machine Translation and Example-Based Machine Translation have been successful by using word alignment to find transla- tion fragments for matched source parts in a bilingual training corpus. However, they still cannot properly deal with systematic translation for insertion or deletion …...

Statistical machine translation relies heav- ily on parallel corpora to train its mod- els for translation tasks. While more and more bilingual corpora are readily avail- able, the quality of the sentence pairs should be taken into consideration. This paper presents a novel lattice score-based data cleaning method to select …...

The article presents an attempt to auto- mate all data creation processes of a rule- based shallow-transfer machine translation system. The presented methods were tested on two fully functional translation systems Slovenian-Serbian and Slovenian- Macedonian. An extensive range of evalu- ation tests was performed to assess the ap- plicability of …...

The paper presents EuroTermBank Ter- minology Add-in – an innovative multi- lingual terminology translation tool. This tool integrates the federated terminology of the currently over 100 EuroTermBank terminology resources in Microsoft Word environment and accesses over 2 million terminology entries in 27 European lan- guages. The new tool provides a …...

Translation memory (TM) plays an impor- tant role in localisation workflows and is used as an efficient and fundamental tool to carry out translation. In recent years, statistical machine translation (SMT) tech- niques have been rapidly developed, and the translation quality and speed have been significantly improved as well. However, …...

Localisation has long been regarded as an appropriate domain for the deployment of MT. This paper reports the results of a qualitative study which investigated the ac- tivities of professional translators working in a Language Services Provider. We anal- yse the observed work practices and high- light issues related to …...

Machine Translation (MT) is the task of automatically translating a text from one language to another. In this work we de- scribe a phrase-based Statistical Machine Translation (SMT) system that translates English sentences to Bangla. A translit- eration module is added to handle out- of-vocabulary (OOV) words. This is es- …...

Post-editing (PE) is still a new activity for many translators. The lack of training, clear and consistent guidelines and inter- national standards may cause difficulties in the transition from translation to PE. Aiming to gain a better understanding of these difficulties and using data gathered from a pilot project, this …...

This paper proposes the use of a Determin- istic Annealing Expectation-Maximization (DAEM) algorithm to estimate the word- alignments involved in the statistical trans- lation process. This approach is aimed to overcome the problem of the local maxima in complex alignment models, thus making unnecessary to iterate with previous and simpler …...

In this work, we address the question of how to integrate confidence measures into a interactive-predictive machine transla- tion system and reduce user effort. Specif- ically, we propose to use word confidence measures to aid the user in validating cor- rect prefixes from the outputs given by the system. Experimental …...

This study evaluates the impact of inte- grating two different collocation segmen- tations methods in a standard phrase-based statistical machine translation approach. The collocation segmentation techniques are implemented simultaneously in the source and target side. Each resulting col- location segmentation is used to extract translation units. Experiments are reported in …...

The focus of this article is to show how client centric Machine Translation (MT) evaluation can assist in identifying the best MT solution in an Enterprise con- text. Examining extensive lists of opaque scores (BLEU and others) does not bring value to the Enterprise market unless it can equate the …...

In most statistical machine translation (SMT) systems, bilingual segments are ex- tracted via word alignment. However, there lacks systematic study as to what alignment characteristics can benefit MT under specific experimental settings such as the language pair or the corpus size. In this paper we produce a set of alignments …...