Лексикалық Дәлсіздік
Related Papers
Acquisition of Computational-Semantic Lexicons from Machine Readable Lexical Resources
This paper describes a heuristic algorithm capable of automatically assigning a label to each of the senses in a machine readable dictionary (MRD) for the purpose of acquiring a com- …...
Statistical analysis of target language corpus for word sense disambiguation in a machine translation system
This article studies different aspects of a new approach for word sense disambiguation using statistical information gains from a target language monolingual corpus. Here, the source language is English and …...
When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models
Distributional semantic models can pre- dict many linguistic phenomena, including word similarity, lexical ambiguity, and se- mantic priming, or even to pass TOEFL synonymy and analogy tests (Landauer and Dumais, …...
Putting Words in Context: LSTM Language Models and Lexical Ambiguity
AbstractIn neural network models of language, words are commonly represented using context-invariant representations (word embeddings) which are then put in context in the hidden layers. Since words are often ambiguous, …...
An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems
AbstractLexical ambiguity is one of the many challenging linguistic phenomena involved in translation, i.e., translating an ambiguous word with its correct sense. In this respect, previous work has shown that …...
How Much Context Span is Enough? Examining Context-Related Issues for Document-level MT
AbstractThis paper analyses how much context span is necessary to solve different context-related issues, namely, reference, ellipsis, gender, number, lexical ambiguity, and terminology when translating from English into Portuguese. We …...
Do online Machine Translation Systems Care for Context? What About a GPT Model?
AbstractThis paper addresses the challenges of evaluating document-level machine translation (MT) in the context of recent advances in context-aware neural machine translation (NMT). It investigates how well online MT systems …...