The interest in statistical machine translation systems increases currently due to political and social events in the world. A proposed Statistical Machine Translation (SMT) based model that can be used to translate a sentence from the source Language (English) to the target language (Arabic) automatically through efficiently incorporating different statistical and Natural Language Processing (...

In this paper we will discuss Natural Language Processing (NLP) techniques used to analyze spoken diary entries and automatically classify the locations and activities into semantic categories. This research combines work done in utterance semantics classification using a Bayesian statistical model of the words with contextual information present within the diary to disambiguate classification ...

Title generation is a complex task involving both natural language understanding and natural language synthesis. In this paper, we propose a new probabilistic model for title generation. Different from the previous statistical models for title generation, which treat title generation as a generation process that converts the ‘document representation’ of information directly into a ‘title repres...

Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...

In this paper, it is described how an Assamese sentence is translated to English using statistical machine translation. Statistical Machine Translation is the paradigm where translations from source to target language are based on statistical models. Moses is used as a platform for Statistical Machine Translation. GIZA++ is also used for word-alignment and IRSTLM for language model training. A ...

English speech lacks the acoustic analog of blank spaces that people are accustomed to seeing between words in written text. Discovering words in continuous spoken speech then is an interesting problem that has been treated at length in the literature. The issue is particularly prominent in the parsing of written text in languages that do not explicitly include spaces between words, and in the ...