Morphology

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 …...

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 …...

Lexical pattern matching and text extraction is an essential component of many Natural Language Processing applications. Following the language hierarchy first conceived by Chomsky, it is commonly accepted that simple …...

This paper discusses research on distin- guishing word meanings in the context of information retrieval systems. We conduc- ted experiments with three sources of evid- ence for making these distinctions: …...

This paper describes a tool for acquiring un- known words, which operates in a bilingual human-machine dialogue system. When the user’s utterance includes a word which is not in the …...

This paper introduces a new approach to translation memories. The proposed translation technology uses linguistic analysis (morphology and parsing) to determine similarity between two source-language segments, and attempts to assemble …...

In this paper we explore a learning-based ap- proach to the problem of predicting language impairment in children. We analyzed sponta- neous narratives of children and extracted fea- tures measuring …...

. We describe an implementation of morphology, development of a corpus and building of a lexicon for Punjabi language. Such resources are building blocks for various language technology tasks ranging …...

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 …...

In previous work on unsupervised learning of morphology, the long-tail pattern in the rank-frequency distribution of words, as well as of morphological units, is usually considered as following Zipf’s law …...

This paper proposes a general framework for the semantics of honorific expressions, includ- ing honorific pronouns, morphology, and dis- course particles. Such expressions are claimed to indicate a level of …...

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 …...

We present an ongoing effort on the first large-scale morphologically manually annotated corpus of Emirati Arabic. This corpus includes about 200,000 words selected from eight Gumar corpus novels in the …...

AbstractIn this paper, we present AnlamVer, which is a semantic model evaluation dataset for Turkish designed to evaluate word similarity and word relatedness tasks while discriminating those two relations from …...

German is a language with complex morphological processes. Its long and often ambiguous word forms present a bottleneck problem in natural language processing. As a step towards morphological analyses of …...

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 …...

We present an application of Semantic Web Technologies to computational lexicography. More precisely we describe the publication of the morphological layer of the Italian Parole Simple Clips lexicon (PSC-M) as …...

We present a unified set of guidelines and resources for conventional orthography of dialectal Arabic. While Standard Arabic has well defined orthographic standards, none of the Arabic dialects do today. …...

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 …...

AbstractWe evaluate two common conjectures in error analysis of NLP models: (i) Morphology is predictive of errors; and (ii) the importance of morphology increases with the morphological complexity of a …...

AbstractThis paper summarizes the results of our test suite evaluation with a main focus on morphology for the language pairs English to/from German. We look at the translation of morphologically …...