Towards Semantic-based Hybrid Machine Translation between Bulgarian and English

نویسندگان

  • Kiril Simov
  • Petya Osenova
  • Alex Popov
چکیده

The paper focuses on the creation of a semantic-based hybrid Machine Translation system between Bulgarian and English in the domain of Information Technology. The preprocessing strategies are presented. A method for the substitution of English word forms with the synsets or Bulgarian representative lemmas is discussed. Finally, the creation of a factored model in the Moses system is described.

منابع مشابه

Bulgarian-English and English-Bulgarian Machine Translation: System Design and Evaluation

The paper presents a deep factored machine translation (MT) system between English and Bulgarian languages in both directions. The MT system is hybrid. It consists of three main steps: (1) the source-language text is linguistically annotated, (2) it is translated to the target language with the Moses system, and (3) translation is postprocessed with the help of the transferred linguistic annota...

متن کامل

Bootstrapping Open-Source English-Bulgarian Computational Dictionary

We present an open-source English-Bulgarian dictionary which is a unification and consolidation of existing and freely available resources for the two languages. The new resource can be used as either a pair of two monolingual morphological lexicons, or as a bidirectional translation dictionary between the languages. The structure of the resource is compatible with the existing synchronous Engl...

متن کامل

Towards Minimal Recursion Semantics over Bulgarian Dependency Parsing

The paper discusses the transferring rules of the output from a dependency parser for Bulgarian into RMRS analyses. This task is required by the machine translation compatibility between Bulgarian and English resources. Since the Bulgarian HPSG grammar is still being developed, a repairing mechanism has been envisaged by parsing the Bulgarian data with the Malt Dependency Parser, and then retri...

متن کامل

A Comparative Study of English-Persian Translation of Neural Google Translation

Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation. Therefore, this paper aimed at investigating whether neural machine translation was more acceptable in English-Persian translation in comparison with machine translation. Hence, two types of text were chosen to be translated...

متن کامل

A Hybrid Approach for Deep Machine Translation

This paper presents a Hybrid Approach to Deep Machine Translation in the language direction from English to Bulgarian. The set-up uses preand post-processing modules as well as two-level transfer. The language resources that have been incorporated are: WordNets for both languages; a valency lexicon for Bulgarian; aligned parallel corpora. The architecture comprises a predominantly statistical c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

متن کامل
عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016