1. Articles in category: WSD

    361-369 of 369 « 1 2 ... 13 14 15 16
    1. Type-based selection of rules for semantically disambiguating words

      In semantically disambiguating words, where more than one disambiguation applies to the context in which a word occurs, a rule can be selected based on the type of information from which it was obtained. The rules can be derived from different types of information in a corpus such as a dictionary, and rules can be selected in accordance with a prioritization of the types of information.
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    2. Method of and apparatus for processing an input text, method of and apparatus for performing an approximate translation and storage medium

      A method of processing an input text comprising a plurality of words is provided. The method comprising the steps of deriving from the input text a plurality of sets such that each set comprises at least one of the words of the input text, all of the words of each set are present in the input text, and the words of each if any set containing more than one word constitute a collocation; assigning to each set a unique relative rank; comparing each set in order of decreasing relative rank with the input text; and selecting each set, all of ...
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      Mentions: London Grenoble
    3. Method and apparatus for measuring the degree of polysemy in polysemous words

      A system and apparatus are disclosed for identifying polysemous terms and for measuring their degree of polysemy. A polysemy index provides a quantitative measure of how polysemous a word is. A list of words can be ranked by their polysemy indices, with the most polysemous words appearing at the top of the list. A polysemy evaluation process collects a set of terms near a target term. Inter-term distances of the set of terms occurring near the target term are computed and the multi-dimensional distance space is reduced to two dimensions. The two dimensional representation is converted into radial coordinates. Isotonic ...
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    4. Natural language processing system for semantic vector representation which accounts for lexical ambiguity

      A natural language processing system uses unformatted naturally occurring text and generates a subject vector representation of the text, which may be an entire document or a part thereof such as its title, a paragraph, clause, or a sentence therein. The subject codes which are used are obtained from a lexical database and the subject code(s) for each word in the text is looked up and assigned from the database. The database may be a dictionary or other word resource which has a semantic classification scheme as designators of subject domains. Various meanings or senses of a word may ...
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    5. System for parametric text to text language translation

      The present invention is a system for translating text from a first source language into a second target language. The system assigns probabilities or scores to various target-language translations and then displays or makes otherwise available the highest scoring translations. The source text is first transduced into one or more intermediate structural representations. From these intermediate source structures a set of intermediate target-structure hypotheses is generated. These hypotheses are scored by two different models: a language model which assigns a probability or score to an intermediate target structure, and a translation model which assigns a probability or score to the ...
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    6. Method and system for natural language translation

      The present invention is a system for translating text from a first source language into a second target language. The system assigns probabilities or scores to various target-language translations and then displays or makes otherwise available the highest scoring translations. The source text is first transduced into one or more intermediate structural representations. From these intermediate source structures a set of intermediate target-structure hypotheses is generated. These hypotheses are scored by two different models: a language model which assigns a probability or score to an intermediate target structure, and a translation model which assigns a probability or score to the ...
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    7. Document information retrieval using global word co-occurrence patterns

      A method and apparatus accesses relevant documents based on a query. A thesaurus of word vectors is formed for the words in the corpus of documents. The word vectors represent global lexical co-occurrence patterns and relationships between word neighbors. Document vectors, which are formed from the combination of word vectors, are in the same multi-dimensional space as the word vectors. A singular value decomposition is used to reduce the dimensionality of the document vectors. A query vector is formed from the combination of word vectors associated with the words in the query. The query vector and document vectors are compared ...
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    8. Method for natural language data processing using morphological and part-of-speech information

      An enhancement and retrieval method for natural language data using a computer is disclosed. The method includes executing linguistic analysis upon a text corpus file to derive morphological, part-of-speech information as well as lexical variants corresponding to respective corpus words. The derived linguistic information is then used to construct an enhanced text corpus file. A query text file is linguistically analyzed to construct a plurality of trigger token morphemes which are then used to construct a search mask stream which is correlated with the enhanced text corpus file. A match between the search mask stream and the enhanced corpus file ...
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    9. Method for document retrieval and for word sense disambiguation using neural networks

      A method for storing and searching documents also useful in disambiguating word senses and a method for generating a dictionary of context vectors. The dictionary of context vectors provides a context vector for each word stem in the dictionary. A context vector is a fixed length list of component values corresponding to a list of word-based features, the component values being an approximate measure of the conceptual relationship between the word stem and the word-based feature. Documents are stored by combining the context vectors of the words remaining in the document after uninteresting words are removed. The summary vector obtained ...
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    361-369 of 369 « 1 2 ... 13 14 15 16
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