Sentiment analysis is an application of natural language processing (NLP) that requires a machine learning algorithm and dataset. In some cases, the dataset availability scarce, particularly with Arabic dialects, precisely Bahraini ones, which necessitates using approach such as translation, where rich source exploited to create target this study, Amazon product reviews in dialects presented. T...

This presentation is primarily a demonstration of a working statistical machine translation system which translates Modern Standard Arabic into English.

The development of natural language processing tools for dialects faces the severe problem of lack of resources. In cases of diglossia, as in Arabic, one variant, Modern Standard Arabic (MSA), has many resources that can be used to build natural language processing tools. Whereas other variants, Arabic dialects, are resource poor. Taking advantage of the closeness of MSA and its dialects, one w...

The NIST Open Handwriting Recognition and Translation Evaluation 2013 (NIST OpenHaRT’13) is a performance evaluation assessing technologies that transcribe and translate text in document images. This evaluation is focused on recognizing Arabic text images and translating them into English. A Handwriting Recognition and Translation system typically consists of a combination of two systems: a Tex...

This paper is a description of the system presented by the LIG laboratory to the IWSLT08 speech translation evaluation. The LIG participated, for the second time this year, in the Arabic to English speech translation task. For translation, we used a conventional statistical phrase-based system developed using the moses open source decoder. We describe chronologically the improvements made since...

In this paper, we provide a description of the Dublin City University’s (DCU) submissions in the IWSLT 2011 evaluation campaign.1 We participated in the Arabic-English and Chinese-English Machine Translation(MT) track translation tasks. We use phrase-based statistical machine translation (PBSMT) models to create the baseline system. Due to the open-domain nature of the data to be translated, we...

We investigate translation modeling based on exponential estimates which generalize essential components of standard translation models. In application to a hierarchical phrasebased system the simplest generalization allows its models of lexical selection and reordering to be conditioned on arbitrary attributes of the source sentence and its annotation. Viewing these estimates as approximations...

In past Evaluations for Machine Translation of European Languages, it could be shown that the translation performance of SMT systems can be increased by integrating a bilingual language model into a phrase-based SMT system. In the bilingual language model, target words with their aligned source words build the tokens of an n-gram based language model. We analyzed the effect of bilingual languag...

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 were found in the target language corpus and create a directed graph to detect the phrases that form a shortest path walk in the graph. This method is used in a hybrid English to Arabic MT system. The system combines ...