WHAT IS A RULE BASED MACHINE TRANSLATION SYSTEM? A rule based machine translation system consists of collection of rules called grammar rules, lexicon and software programs to process the rules. It is extensible and maintainable. Rule based approach is the first strategy ever developed in the field of machine translation. Rules are written with linguistic […]
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WHAT IS MACHINE TRANSLATION? The term machine translation (MT) is used in the sense of translation of one language to another. The ideal aim of machine translation systems is to produce the best possible translation without human assistance. Basically every machine translation system requires programs for translation and automated dictionaries and grammars to support translation. The translation quality of
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Machine translation is the process of translating from source language text into the target language. The following diagram shows all the phases involved. Figure: A Typical Machine Translation Process TEXT INPUT This is the first phase in the machine translation process and is the first module in any MT system. The sentence categories can be classified based
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Just as on the expression side mood contents have mood forms. Modality has modalizers as typical devices for expression. And, as mood contents can be expressed by means other than typical mood forms, modalities can also be expressed by other means. Modalisers are typical in the sense that they are closely bound with the verbs
Mood forms are individual morphological realization of the moods in each language, the number of which will depend on how many variables like person, number, voice, etc are involved. On the semantic level there are mood contents, the meanings conveyed by the mood forms by themselves or in conjunction with specific syntactic devices. But mood forms and mood
Introduction Based on the principle of differentiation of levels in linguistic analysis the term mood stands for a syntactic category and modality can be regarded as a semantic term. Thus in the following sample from the paradigm for the Sanskrit word /ksip/ = throw, three moods are distinguished, namely indicative, imperative and potential. Voice-Active; Number-Singular; Person-1,2 & 3. Indicative
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The function of specifying the message type should be distinguished form another function of indicating the type of assessment expressed in the sentence. This can be made clear by postulating two aspects of language communication: the speech itself and the narrated matter. The narrated matter is the speaker’s view of the extra-linguistic universe, as he knows it to
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Modality has often been described as the speaker’s attitude. This is actually a very vague definition. A language may have devices to indicate whether or not a speaker believes or is willing to stand by what he says. This may be regarded as attitude in the true sense. Saying something as a quotation sometimes serves the purpose
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Parsing is a process of analyzing a sentence by taking each word and determining its structure from its constituent parts. Parsing process makes use of two components: a parser and a grammar. Parser and Grammar Parser is a procedural component and is nothing but a computer program. Grammar is a declarative component. Parser remains unchanged irrespective
LR parser is a bottom-up parsing technique that can parse a large class of context-free grammars. The technique used by LR parser is LR(k) parsing where L stands for left-to-right scanning of the input, R means constructing a rightmost derivation in reverse, and k for the number of input symbols of lookahead that are used in making
