Building and Using a Lexical Knowledge Base of Near-Synonym Differences
نویسندگان
چکیده
منابع مشابه
Building a Lexical Knowledge-Base of Near-Synonym Differences
Building a Lexical Knowledge-Base of Near-Synonym Differences Diana Inkpen Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2004 Current natural language generation or machine translation systems cannot distinguish among near-synonyms—words that share the same core meaning but vary in their lexical nuances. This is due to a lack of knowledge about differences b...
متن کاملBuilding and Using a Lexical Knowledge Base of Near-Synonym Differences
Choosing the wrong word in a machine translation or natural language generation system can convey unwanted connotations, implications, or attitudes. The choice between near-synonyms such as error, mistake, slip, and blunder — words that share the same core meaning, but differ in their nuances — can be made only if knowledge about their differences is available. We present a method to automatica...
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در این تحقیق دانش زبانشناسی و کاربردشناسی زبان آموزان ایرانی در سطح بالای متوسط مقایسه شد. 50 دانش آموز با سابقه آموزشی مشابه از شش آموزشگاه زبان مختلف در دو آزمون دانش زبانشناسی و آزمون دانش گفتار شناسی زبان انگلیسی شرکت کردند که سوالات هر دو تست توسط محقق تهیه شده بود. همچنین در این تحقیق کارایی کتابهای آموزشی زبان در فراهم آوردن درون داد کافی برای زبان آموزان ایرانی به عنوان هدف جانبی تحقیق ...
15 صفحه اولNear-synonym Lexical Choice in Latent Semantic Space
We explore the near-synonym lexical choice problem using a novel representation of near-synonyms and their contexts in the latent semantic space. In contrast to traditional latent semantic analysis (LSA), our model is built on the lexical level of co-occurrence, which has been empirically proven to be effective in providing higher dimensional information on the subtle differences among near-syn...
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KBMSs for natural language knowledge will be fundamental components of knowledgeable environments where non-computer professionals can use various kinds of support tools for document preparation or translation. However, basic models for such KBMSs have not been established yet. Thus, we propose a model for an LKB focusing on dictionary knowledge such as that obtained from machine-readable dicti...
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2006
ISSN: 0891-2017,1530-9312
DOI: 10.1162/coli.2006.32.2.223