Annotated corpora such as treebanks are important for the development of parsers, language applications as well as understanding of the language itself. Only very few languages possess these scarce resources. In this paper, we describe our effort in syntactically annotating a small corpora (600 sentences) of Tamil language. Our annotation is similar to Prague Dependency Treebank (PDT 2.0) and c...

We present a brief description of the design of a diagrambased system that supports the development of thinking about mathematical generalisation. Within the software, the user constructs a dependency graph that explicitly shows the relationships between components of a task. Using this dependency graph, the user manipulates graphical visualisations of component attributes which helps them move...

This paper proposes an efficient linguistic processing strategy for speech recognition and understanding using a dependency structure grammar. The strategy includes parsing and phrase prediction algorithms. After speech processing and phrase recognition based on phoneme recognition, the parser extracts the sentence with the best likelihood taking account of the phonetic likelihood of phrase can...

first, fairclough has considered the concrete texts in a linguistic position, then identified discourses which is based on the text and finally describe their dependency to micro social theories. his purpose has been to aware consumer of media texts in critical language. every text leads readers towards an understanding of certain facts. the main concern of fairclough has been the identificatio...

We present an approach to the parsing of dependency structures which brings together the notion of parsing as candidate elimination, the use of graded constraints, and the parallel disambiguation of related structural representations. The approach aims at an increased level of robustness by accepting constraint violations in a controlled way, combining redundant and possibly conflicting informa...

dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. part-of-speech (pos) tagging is a prerequisite for dependency parsing. generally, dependency parsers do the pos tagging task along with dependency parsing in a pipeline mode. unfortunately, in pipel...

In this paper represents the work toward developing a dependency parser for Sanskrit language and also represents the efforts in developing a NLU(Natural Language Understanding) and NLP(Natural Language Processing) systems. Here, we use ashtadhayayi (a book of Sanskrit grammar) to implement this idea. We use this concept because the Sanskrit is an unambiguous language. In this paper, we are pre...

-Natural Language Processing is the multidisciplinary area of Artificial Intelligence, Machine Learning and Computational Linguistic for processing human language automatically. It involves understanding and processing of human language. The way through which we share our contents or feelings have always great importance in understanding and processing of language. Parsing is the most suited ap...