Add to ORKGOne of the advantages of deep grammars, such as those based on HPSG, is that they can be used for generation as well as parsing. However, typically they are tested more thoroughly for parsing. I
We investigate grammatical error detec-tion in spoken language, and present a data-driven method to ...
The demand for computer-assisted language learning systems that can provide corrective feedback on l...
Automatic language assessment and learning systems are required to support the global growth in Engl...
We demonstrate that the bidirectionality of deep grammars, allowing them to generate as well as pars...
Abstract. This article presents the central algorithm of an open system for grammar checking, based ...
Traditionally, English grammatical error checking is done by English language professionals. However...
Shortage of available training data is holding back progress in the area of automated error detectio...
Earlier research has shown that few studies in Natural Language Generation (NLG) evaluate their syst...
The concept of automated grammar evaluation of natural language texts is one that has attracted sign...
Most state-of-the-art parsers aim to produce an analysis for any input despite errors. However, smal...
In this thesis, I show the advantages of using symbolic parsers for Grammatical Error Detection and ...
Abstract — Applications like word processors and other writing tools typically include a grammar che...
This paper compares a deep and a shallow processing approach to the problem of classifying a sentenc...
Automatic language assessment and learning systems are required to support the global growth in Engl...
Automatic language assessment and learning systems are required to support the global growth in Engl...
We investigate grammatical error detec-tion in spoken language, and present a data-driven method to ...
The demand for computer-assisted language learning systems that can provide corrective feedback on l...
Automatic language assessment and learning systems are required to support the global growth in Engl...
We demonstrate that the bidirectionality of deep grammars, allowing them to generate as well as pars...
Abstract. This article presents the central algorithm of an open system for grammar checking, based ...
Traditionally, English grammatical error checking is done by English language professionals. However...
Shortage of available training data is holding back progress in the area of automated error detectio...
Earlier research has shown that few studies in Natural Language Generation (NLG) evaluate their syst...
The concept of automated grammar evaluation of natural language texts is one that has attracted sign...
Most state-of-the-art parsers aim to produce an analysis for any input despite errors. However, smal...
In this thesis, I show the advantages of using symbolic parsers for Grammatical Error Detection and ...
Abstract — Applications like word processors and other writing tools typically include a grammar che...
This paper compares a deep and a shallow processing approach to the problem of classifying a sentenc...
Automatic language assessment and learning systems are required to support the global growth in Engl...
Automatic language assessment and learning systems are required to support the global growth in Engl...
We investigate grammatical error detec-tion in spoken language, and present a data-driven method to ...
The demand for computer-assisted language learning systems that can provide corrective feedback on l...
Automatic language assessment and learning systems are required to support the global growth in Engl...