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Most linguistic studies of human-computer communication have focused on the issues of syntax and discourse structure. However, another interesting and important area is the lexical semantics of command languages. The …...

This paper surveys some issues that arise in the study of the syntax and semantics of natural languages (NL's) and have potential relevance to the automatic recognition, parsing, and translation …...

This work concerns integration between syntax and semantics. Syntactic and semantic activities rely on separate bodies of knowledges. Integration is obtained by exploiting the isomorphism between grammatical relations (among immediate …...

This paper describes an analysis of telegraphic fragments as regular structures (not errors) han- dled by rn~n~nal extensions to a system designed for processing the standard language. The modu- lar …...

Command relations are important tools in linguistics, especially in anaphora theory. In this paper I present an indexing technique which allows us to implement a simple and efficient check for …...

What is the relationship between syntax, prosody and phonetics? This paper argues for a declarative constraint-based theory, in which each step in a derivation adds diverse constraints to a pool. …...

Attention on constraint-based grammar formalisms such as Head-driven Phrase Structure Grammar (HPS6) has focussed on syntax and semantics to the exclu- sion of phonology. This paper investigates the in- corporation …...

AbstractCurrent approaches to computational lexicology in language technology are knowledge-based (competence-oriented) and try to abstract away from specific formalisms, domains, and applications. This results in severe complexity, acquisition and reusability …...

AbstractTyped feature formalisms (TFF) play an increasingly important role in NLP and, in particular, in MT. Many of these systems are inspired by Pollard and Sag’s work on Head-Driven Phrase …...

The natural language system DISC() is described. It combines a powerful and flexible grammar development system; • linguistic competence for German including morphol- ogy, syntax and semantics; • new metlmds …...

We describe a computational framework for a grammar architecture in which dif- ferent linguistic domains such as morphol- ogy, syntax, and semantics are treated not as separate components but compositional …...

This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suit- able for computational use. We …...

This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependency parse trees whereas …...

AbstractWe are developing and annotating a learner corpus of Hungarian, composed of student journals from three different proficiency levels written at Indiana University. Our annotation marks learner errors that are …...

Many NLP tasks interact with syntax. The presence of a named entity span, for example, is often a clear indicator of a noun phrase in the parse tree, while a …...

Modelling the compositional process by which the meaning of an utterance arises from the meaning of its parts is a funda- mental task of Natural Language Process- ing. In this …...

This study compares two constructions in Cantonese which shares similar features in their syntax and semantics. Previous works observe that comparatives often appear after experiential aspect in the verbal domain …...

Psychological analysis of language has repeat- edly shown that an individual’s rate of men- tioning 1st person singular pronouns predicts a wealth of important demographic and psy- chological factors. However, …...

AbstractTransfer and multi-task learning have traditionally focused on either a single source-target pair or very few, similar tasks. Ideally, the linguistic levels of morphology, syntax and semantics would benefit each …...

AbstractWe investigate the compositional structure of message vectors computed by a deep network trained on a communication game. By comparing truth-conditional representations of encoder-produced message vectors to human-produced referring expressions, …...

AbstractThe attention mechanism is a successful technique in modern NLP, especially in tasks like machine translation. The recently proposed network architecture of the Transformer is based entirely on attention mechanisms …...

AbstractA core part of linguistic typology is the classification of languages according to linguistic properties, such as those detailed in the World Atlas of Language Structure (WALS). Doing this manually …...

AbstractSyntax has been a useful source of information for statistical RST discourse parsing. Under the neural setting, a common approach integrates syntax by a recursive neural network (RNN), requiring discrete …...

AbstractAuthorship attribution typically uses all information representing both content and style whereas attribution based only on stylistic aspects may be robust in cross-domain settings. This paper analyzes different linguistic aspects …...

Text summarization is an important yet chal- lenging task in natural language processing. In this paper, we investigate Pointer Genera- tor Networks for sentence compression. Using Vietnamese as a case …...

AbstractThis paper presents the German Twitter section of a large (2 billion word) bilingual Social Media corpus for Hate Speech research, discussing the compilation, pseudonymization and grammatical annotation of the …...

AbstractSentence matching aims to identify the special relationship between two sentences, and plays a key role in many natural language processing tasks. However, previous studies mainly focused on exploiting either …...

AbstractFor natural language processing systems, two kinds of evidence support the use of text representations from neural language models “pretrained” on large unannotated corpora: performance on application-inspired benchmarks (Peters et …...

AbstractA prerequisite for the computational study of literature is the availability of properly digitized texts, ideally with reliable meta-data and ground-truth annotation. Poetry corpora do exist for a number of …...

AbstractWhile there is an abundance of advice to podcast creators on how to speak in ways that engage their listeners, there has been little data-driven analysis of podcasts that relates …...

AbstractPre-trained transformer-based language models have achieved state-of-the-art performance in many areas of NLP. It is still an open question whether the models are capable of integrating syntax and semantics in …...