Dictionaries
Related Papers
The Translator’s Workbench: An Environment for Multi-Lingual Text Processing and Translation
AbstractThe Translator’s Workbench provides the user with a set of computer-based tools for speeding up the translation process and facilitate multilingual text processing and technical writing. The tools include dictionaries, …...
Analysis of Scene Identification Ability of Associative Memory with Pictorial Dictionary
Semantic disambiguation depends on a process of defining the appropriate knowledge context. Recent research directions suggest a eonnectionist approach which use dictionaries, but there remain problems of scale, analysis, and …...
How to make MT work for you
AbstractA successful MT operation is the result of good planning, an incremental approach, dedicated and talented people, and MT software that is capable of handling the types of text to …...
Building Affective Lexicons from Specific Corpora for Automatic Sentiment Analysis
AbstractAutomatic sentiment analysis in texts has attracted considerable attention in recent years. Most of the approaches developed to classify texts or sentences as positive or negative rest on a very …...
Combining Resources: Taxonomy Extraction from Multiple Dictionaries
AbstractThe idea that dictionaries are a good source for (computational) information has been around for a long while, and the extraction of taxonomic information from them is something that has …...
A SKOS-based Schema for TEI encoded Dictionaries at ICLTT
AbstractAt our institutes we are working with quite some dictionaries and lexical resources in the field of less-resourced language data, like dialects and historical languages. We are aiming at publishing …...
Digital Library 2.0: Source of Knowledge and Research Collaboration Platform
AbstractDigital libraries are frequently treated just as a new method of storage of digitized artifacts, with all consequences of transferring long-established ways of dealing with physical objects into the digital …...
Learning Word Representations with Regularization from Prior Knowledge
AbstractConventional word embeddings are trained with specific criteria (e.g., based on language modeling or co-occurrence) inside a single information source, disregarding the opportunity for further calibration using external knowledge. This …...
Lemmatization of Multi-word Common Noun Phrases and Named Entities in Polish
AbstractIn the paper we present a tool for lemmatization of multi-word common noun phrases and named entities for Polish called LemmaPL. The tool is based on a set of manually …...
An Overview of the SEBAMAT Project
AbstractSEBAMAT (semantics-based MT) is a Marie Curie project intended to con-tribute to the state of the art in machine translation (MT). Current MT systems typically take the semantics of a …...
Collocations in Russian Lexicography and Russian Collocations Database
AbstractThe paper presents the issue of collocability and collocations in Russian and gives a survey of a wide range of dictionaries both printed and online ones that describe collocations. Our …...
Dictionary-based Debiasing of Pre-trained Word Embeddings
AbstractWord embeddings trained on large corpora have shown to encode high levels of unfair discriminatory gender, racial, religious and ethnic biases. In contrast, human-written dictionaries describe the meanings of words …...