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As bilateral relation between Indonesia and Japan strengthens, the need of consistent term usage for both languages becomes important. In this paper, a new method for Indonesian-Japanese term extraction is presented. In general, this is done in 3 steps: (1) n-gram extraction for each language, (2) n-gram cross-pairing between both languages, and (3) classification. This method is aimed to be able...
Automatic extraction of definitional contexts has been a problem that deserved to be addressed to in different studies by applications demands in the Natural Language Processing. The first approach to the automatic extraction of these resources has been through specific linguistic patterns, but this approach requires previous extensive linguistic knowledge and a thorough previous work. A model machine...
This paper explores the rules of the construction and the syntactic features of the "planting" verbal metaphors, with the detailed analysis on syntax, semantics and constitute of the verbal metaphorical expression. Furthermore, we extract the key features to distinguish the verbal metaphors based on the differences between the verbal metaphorical expressions and the literal meanings, and...
We present a work on identification and classification of Named Entities in Tamil, a morphologically rich language. Here we have used a machine learning technique, Conditional Random Fields (CRFs) for this task. We discuss here about the linguistic features used in CRFs for this morphologically rich language.
This paper presents an approach to automatically identify potentially nocuous ambiguities, which occur when text is interpreted differently by different readers of requirements written in natural language. We extract a set of anaphora ambiguities from a range of requirements documents, and collect multiple human judgments on their interpretations. The judgment distribution is used to determine if...
In question answering systems, question taxonomy is commonly used as the representation of user information needs. This paper proposes CogQTaxo, a framework of three-dimensional question taxonomy. The dimensions represent the surface information need, the implicit information needs and the pragmatic expectations respectively. The employed linguistic classification criteria follow the cognitive process...
We present a tool that facilitates the efficient extension of morphological lexica. The tool exploits information from a morphological lexicon, a morphological grammar and a text corpus to guide the acquisition process. In particular, it employs statistical models to analyze out-of-vocabulary words and predict lexical information. These models do not require any additional labeled data for training...
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