Rule Based Machine Translation
Related Papers
Experiments and Prospects of Example-Based Machine Translation
EBMT (Example-Based Machine Translation) is proposed. EBMT retrieves similar examples (pairs of source phrases, sentences, or texts and their translations) from a d~t.hase of examples, adapting the examples to translate …...
Translation memory as a robust example-based translation system
This paper introduces a new approach to translation memories. The proposed translation technology uses linguistic analysis (morphology and parsing) to determine similarity between two source-language segments, and attempts to assemble …...
Integrating CAT and MT in AnglaBhart-II architecture
Machine translation (MT) is a complex and a difficult task. It is not possible to achieve human competing performance with the present state of technology. Automating the process of translation …...
Using RBMT Systems to Produce Bilingual Corpus for SMT
This paper proposes a method using the ex- isting Rule-based Machine Translation (RBMT) system as a black box to produce synthetic bilingual corpus, which will be used as training data …...
Hybrid machine translation architectures within and beyond the EuroMatrix project
. This paper presents two hybrid architectures combining rule- based and statistical machine translation (RBMT and SMT) technology. In the first case, several existing MT engines are combined in a …...
Modified Dijkstra-like search algorithm for English to Arabic machine translation system
. In this paper we are introducing a modified Dijkstra’s shortest path algorithm used to detect the target language phrases. We list the indexes of the source sentence’s words which …...
Using Moses to Integrate Multiple Rule-Based Machine Translation Engines into a Hybrid System
Based on an architecture that allows to com- bine statistical machine translation (SMT) with rule-based machine translation (RBMT) in a multi-engine setup, we present new results that show that this …...
Evaluation-Guided Pre-Editing of Source Text: Improving MT-Tractability of Light Verb Constructions
This paper reports an experiment on eval- uating and improving MT quality of light-verb construction (LVCs) – com- binations of a ‘semantically depleted’ verb and its complement. Our method uses …...
Lattice Parsing to Integrate Speech Recognition and Rule-Based Machine Translation
In this paper, we present a novel approach to integrate speech recognition and rule- based machine translation by lattice pars- ing. The presented approach is hybrid in two senses. First, …...
Use of Rich Linguistic Information to Translate Prepositions and Grammar Cases to Basque
This paper presents three successful tech- niques to translate prepositions heading verbal complements by means of rich lin- guistic information, in the context of a rule-based Machine Translation system for …...
A Novel Statistical Pre-Processing Model for Rule-Based Machine Translation System
This paper introduces a new statistical pre- processing model for Rule-Based Machine Translation (RBMT) systems. We train a Statistical Machine Translation (SMT) system using monolingual corpora. This model can transform …...
Enlarging Monolingual Dictionaries for Machine Translation with Active Learning and Non-Expert Users
This paper explores a new approach to help non-expert users with no background in linguistics to add new words to a mono- lingual dictionary in a rule-based machine translation system. …...
An Evaluation of Statistical Post-Editing Systems Applied to RBMT and SMT Systems
Statistical post-editing (SPE) of the output produced by rule-based MT (RBMT) systems has been reported to produce extraordinary BLEU (and other automatic evaluation) score improvements. SPE has also been applied …...
Applying Statistical Post-Editing to English-to-Korean Rule-based Machine Translation System
Conventional rule-based machine translation system suffers from its weakness of fluency in the view of target language generation. In particular, when translating English spoken language to Korean, the fluency of …...
Linguistic Evaluation of Support Verb Constructions by OpenLogos and Google Translate
AbstractThis paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) system …...
SMT of German patents at WIPO: decompounding and verb structure pre-reordering
A method is presented to assist users with no background in linguistics in adding the unknown words in a text to monolingual dictionaries such as those used in rule- based …...
FALCON: Federated Active Linguistic data CuratiON
This paper presents a hybrid machine translation framework based on a pre- processor that translates fragments of the input text by using example-based ma- chine translation techniques. The pre- processor …...
A Rule-based Shallow-transfer Machine Translation System for Scots and English
AbstractAn open-source rule-based machine translation system is developed for Scots, a low-resourced minor language closely related to English and spoken in Scotland and Ireland. By concentrating on translation for assimilation …...
Rule-based Machine translation from English to Finnish
The paper describes a rule-based machine translation system adapted to English to Finnish translation. Although the translation system participates in the shared task of news transla- tion in WMT 2017, …...
Building an Extremely Low Resource Language to High Resource Language Machine Translation System from Scratch
Building a machine translation system for an extremely low-resource language is a prob- lem in contemporary computational linguistics. In this article, we show how to use existing morpho-syntactic analysers and …...