Crowd-sourced assessments of machine translation quality allow evaluations to be carried
out cheaply and on a large scale. It is essential, however, that the crowd's work be filtered to …

This paper explores the issue of automatically generated ungrammatical data and its use in
error detection, with a focus on the task of classifying a sentence as grammatical or …

We propose USim, a semantic measure for Grammatical Error Correction (GEC) that
measures the semantic faithfulness of the output to the source, thereby complementing …

ABSTRACT A classifier which is capable of distinguishing a syntactically well formed
sentence from a syntactically ill formed one has the potential to be useful in an L2 language …

This article describes how a treebank of ungrammatical sentences can be created from a
treebank of well-formed sentences. The treebank creation procedure involves the automatic …

For many NLP applications that require a parser, the sentences of interest may not be well-
formed. If the parser can overlook problems such as grammar mistakes and produce a parse …

This thesis is concerned with the parsing of ungrammatical written English sentences. Over
a period of eighteen months, a 20,000 word corpus was developed which consists of …

Because of the wide variety of contemporary practices used in the automatic syntactic
parsing of natural languages, it has become necessary to analyze and evaluate the …

Robustness in a parser refers to an ability to deal with exceptional phenomena. A parser is
robust if it deals with phenomena outside its normal range of inputs. This paper reports on a …

Natural language processing (NLP) means the computer-aided processing of language
produced by a human. But human language is inherently irregular and the most reliable …