Fast Lexically Constrained Viterbi Algorithm (FLCVA): Simultaneous Optimization of Speed and Memory [PDF]
Lexical constraints on the input of speech and on-line handwriting systems improve the performance of such systems. A significant gain in speed can be achieved by integrating in a digraph structure the different Hidden Markov Models (HMM) corresponding to the words of the relevant lexicon.
Alain Lifchitz +2 more
+5 more sources
Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression [PDF]
In this paper, we show that the lexical function model for composition of distributional semantic vectors can be improved by adopting a more advanced regression technique. We use the pathwise coordinate-descent optimized elastic-net regression method to estimate the composition parameters, and compare the resulting model with several recent alternative
Jiming Li, Marco Baroni, Georgiana Dinu
openalex +2 more sources
The active dictionary of lexical combinatorics as a means of optimizing language learning
An important element of language competence is the knowledge of different features of lexical combinatorics. This article describes the structure of an Active Russian-Ukrainian Combinatory Dictionary of Nouns. The main goal of the Dictionary lies within the systematic representation of lexical combinatorics of a particular entry keyword along with its ...
Volodymyr Trub
openalex +2 more sources
Optimality Theory and lexical interpretation and selection
This chapter argues for an optimization approach to the selection and interpretation of words. Several advantages of such an approach to lexical semantics are discussed. First of all, it will be argued that competition, entailing that words and interpretations are always judged in relation to other candidates, may explain the lack of straightforward ...
L. Hogeweg
openaire +5 more sources
Optimizing Lexical and Ngram Coverage via Judicious Use of Linguistic Data
I study the effect of various types and amounts of North American Business language data on the quality of the derived vocabulary, and use my findings to derive an improved ranking of the words, using only 19% of the NAB corpus. I then study the conflicting effects of increased vocabulary size on a speech recognizer’s accuracy, and use the result to pick
Roni Rosenfeld
openalex +2 more sources
A visual and interactive tool for optimizing lexical postcorrection of OCR results [PDF]
Systems for postcorrection of OCR-results can be fine tuned and adapted to new recognition tasks in many respects. One issue is the selection and adaption of a suitable background dictionary. Another issue is the choice of a correction model, which includes, among other decisions, the selection of an appropriate distance measure for strings and the ...
Christian M. Strohmaier +3 more
openalex +2 more sources
Training-free Lexical Backdoor Attacks on Language Models [PDF]
Large-scale language models have achieved tremendous success across various natural language processing (NLP) applications. Nevertheless, language models are vulnerable to backdoor attacks, which inject stealthy triggers into models for steering them to ...
Yujin Huang +5 more
semanticscholar +1 more source
Form-Fokus versus Inhalts-Fokus: Zur Nutzung von CALL+ als Instrument zwecks Bestimmung des optimalen Kontextualisierungsgrades beim L2-Lexik-Lernen [PDF]
The controversy about form focus versus content focus or lexicality versus textuality and the relevance of the respective chosen degree of contextualization of the teaching material for successful L2 vocabulary acquisition is still considered unresolved.
Joachim Liedtke
doaj +1 more source
Stubborn Lexical Bias in Data and Models [PDF]
In NLP, recent work has seen increased focus on spurious correlations between various features and labels in training data, and how these influence model behavior.
Sofia Serrano +2 more
semanticscholar +1 more source
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach [PDF]
Z. J. Xiao +3 more
openalex +2 more sources

