10 citations · 26 across the 14 of their papers we have counts for
6 papers · 1 filter
Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity
Yingxue Fu, Mark-Jan Nederhof
By using a trigram model and fine-tuning a pretrained BERT model for sequence classification, we show that machine translation and human translation can be classified with an accur…
Tabular Parsing
Mark-Jan Nederhof, Giorgio Satta
This is a tutorial on tabular parsing, on the basis of tabulation of nondeterministic push-down automata. Discussed are Earley's algorithm, the Cocke-Kasami-Younger algorithm, tabu…
Probabilistic Parsing Strategies
Mark-Jan Nederhof, Giorgio Satta
We present new results on the relation between purely symbolic context-free parsing strategies and their probabilistic counter-parts. Such parsing strategies are seen as constructi…
Practical experiments with regular approximation of context-free languages
Mark-Jan Nederhof
Several methods are discussed that construct a finite automaton given a context-free grammar, including both methods that lead to subsets and those that lead to supersets of the or…
Robust Grammatical Analysis for Spoken Dialogue Systems
Gertjan van Noord, Gosse Bouma, Rob Koeling +1
We argue that grammatical analysis is a viable alternative to concept spotting for processing spoken input in a practical spoken dialogue system. We discuss the structure of the gr…
Prefix Probabilities from Stochastic Tree Adjoining Grammars
Mark-Jan Nederhof, Anoop Sarkar, Giorgio Satta
Language models for speech recognition typically use a probability model of the form Pr(a_n | a_1, a_2, ..., a_{n-1}). Stochastic grammars, on the other hand, are typically used to…