Token-based clone detection techniques are known for their scalability, high recall, and robustness against syntax errors and incomplete code. They, however, may yield clones that are syntactically incomplete and they know very little about the syntactic structure of their reported clones. Hence, their results cannot immediately be used for automated refactorings or syntactic filters for releva...

In the end-user programming arena the fundamental challenges have gradually shifted from basic syntactic challenges towards semantic challenges including the need to convey an understanding of design and engineering principles relevant to end-users. Visual programming has significantly lowered the threshold of programming [1] mostly by sharply reducing or even completely eliminating syntactic p...

Shifting to a lexicalized grammar reduces the number of parsing errors and improves application results. However, such an operation affects a syntactic parser in all its aspects. One of our research objectives is to design a realistic model for grammar lexicalization. We carried out experiments for which we used a grammar with very simple content and formalism, and a very informative syntactic ...

This paper presents the design and development of a system for the detection and correction of syntactic errors in free texts. The system is composed of three main modules: a) a robust syntactic analyser, b) a compiler that will translate error processing rules, and c) a module that coordinates the results of the analyser, applying different combinations of the already compiled error rules. The...

Textual entailment has been proposed as a unifying generic framework for modeling language variability and semantic inference in different Natural Language Processing (NLP) tasks. This paper presents a novel statistical method for recognizing Chinese textual entailment in which lexical, syntactic with semantic matching features are combined together. In order to solve the problems of syntactic ...

Extracting tree transducer rules for syntactic MT systems can be hindered by word alignment errors that violate syntactic correspondences. We propose a novel model for unsupervised word alignment which explicitly takes into account target language constituent structure, while retaining the robustness and efficiency of the HMM alignment model. Our model’s predictions improve the yield of a tree ...

We present a uniform framework for dealing with errors in natural language sentences within the context of :automated second language teaching. The idea is to use a feature grammar and to analyse errors as being sentences where features have other values than those they should have. By using a feature grammar it is possible to describe various types of errors (agreement, syntactic and semantic ...

We present a method for disambiguating syntactic subjects from syntactic objects (a frequent ambiguity) in German sentences taken from an English-German bitext. We exploit the fact that subject and object are usually easily determined in English. We show that a simple method disambiguates some subjectobject ambiguities in German, while making few errors. We view this procedure as the first step...

The correct choice of words has proven challenging for learners of a second language and errors of this kind form a separate category in error typology. This paper focuses on one known example of two verbs that are often confused by non-native speakers of Germanic languages, to make and to do. We conduct experiments using syntactic information and immediate context for Dutch and English. Our re...