In this paper, we present an approach to include morpho-syntactic dependencies into the training of the statistical alignment models. Existing statistical translation systems usually treat different derivations of the same base form as they were independent of each other. We propose a method which explicitly takes into account such interdependencies during the EM training of the statistical ali...

This paper presents an overview of the University of Washington statistical machine translation system developed for the 2006 TCSTAR evaluation campaign. We use a statistical phrase-based system with multiple decoding passes and a log-linear probability model. Our main focus was on exploring the possibility of using morpho-syntactic knowledge (lemmas and part-of-speech tags) for word alignment,...

This paper presents our study of exploiting morpho-syntactic information for phrase-based statistical machine translation (SMT). For morphological transformation, we use hand-crafted transformational rules. For syntactic transformation, we propose a transformational model based on Bayes’ formula. The model is trained using a bilingual corpus and a broad coverage parser of the source language. T...

This paper presents a hybrid approach to the enhancement of English to Arabic statistical machine translation quality. Machine Translation has been defined as the process that utilizes computer software to translate text from one natural language to another. Arabic, as a morphologically rich language, is a highly flexional language, in that the same root can lead to various forms according to i...

We replicate the syntactic experiments of Mikolov et al. (2013b) on English, and expand them to include morphologically complex languages. We learn vector representations for Dutch, French, German, and Spanish with the WORD2VEC tool, and investigate to what extent inflectional information is preserved across vectors. We observe that the accuracy of vectors on a set of syntactic analogies is inv...

We look at a contrasting picture where some piece of functional/semantic information, namely tense, may be deened morphologically by tense innection, or else compositionally in syntax (in conjunction with innection on syntactic items). The question that is at issue is how to represent analytic tense formation to obtain a uniform functional structure for analytic and synthetic tense formation. S...

In this work, we examine the quality of several statistical machine translation systems constructed on a small amount of parallel Serbian-English text. The main bilingual parallel corpus consists of about 3k sentences and 20k running words from an unrestricted domain. The translation systems are built on the full corpus as well as on a reduced corpus containing only 200 parallel sentences. A sm...

Cvetana Krstev,∗ Duško Vitas† and Tomaž Erjavec‡ ∗Faculty of Philology, University of Belgrade Studentski trg 3, 11000 Begrade Serbia and Montenegro [email protected] †Faculty of Mathematics, University of Belgrade Studentski trg 16, 11000 Begrade Serbia and Montenegro [email protected] ‡Department of Knowledge Technologies Jožef Stefan Institute Jamova 39, 1000 Ljubljana Slovenia tomaz.e...

The Korean Combinatory Categorial Grammar (KCCG) tbrmalism can unitbrmly handle word order variation among arguments and adjuncts within a clause as well as in complex clauses and across clause boundaries, i.e., long distance scrambling. Ill this paper, incremental parsing technique of a morpheme graph is developed using the KCCG. We present techniques for choosing the most plausible parse tree...

Korean Combinatory Categorial Grammar(K-CCG) is an extended combinatory categorial formalism that can capture the syntax and interpretation of \relative free" word order in Korean. The approach we develop takes the advantages of CCG ability of type raising and composition along with our previous ECGG1]]2] ability of variable categories and unordered argument modeling for relatively free word or...