We use text classification to distinguish automatically between original and translated texts in Hebrew, a morphologically complex language. To this end, we design several linguistically informed feature sets that capture word-level and sub-word-level (in particular, morphological) properties of Hebrew. Such features are abstract enough to allow for the development of accurate, robust classifie...

Area morphology filters are capable of removing objects in an image based solely on the object area. These operators can be effectively used for content based image retrieval. However, the traditional level set based implementations of these operators are impractical because of their time complexities. Here we present a fast implementation of area morphology based on bitplane decomposition of t...

Automat ic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applications. In languages like Turkish or Finnish, with agglutinative morphology, morphological disambiguation is a very crucial process in tagging, as the structures of many lexical forms are morphologically ambiguous. This paper describes ...

A portion of mitochondrial 12S rDNA sequences (337-355 base pairs) and 63 morphological characters of 36 hard-tick species belonging to 7 genera were analyzed to determine the phylogenetic relationships among groups and species of Rhipicephalus and between the genera Rhipicephalus and Boophilus. Molecular and morphological data sets were first examined separately. The molecular data were analyz...

The aim of our research is the implementation of a prototype for a German natural language interface to a deductive database system modelling a production planning and control system. Whereas existent natural language interfaces represent only loosely coupled filters separated from the underlying database, in our approach the interface constitutes an integral part of the database system itself ...

Introduction It is well known that so-called ergative languages are classified roughly into two groups: those which show an ergative pattern only at the morphological level and those which exhibit an ergative pattern also at the syntactic level. Syntactic ergativity is a curious phenomenon in the following respects. First, while there is apparently some correlation between morphological and syn...

Study Design Validation study of a morphological grading system for central lumbar spinal stenosis. Objective To evaluate and validate the inter- and intraobserver agreement of a morphological grading system for central lumbar spinal stenosis on magnetic resonance imaging between neurosurgeons and radiologists. Methods Two neurosurgeons and two radiologists independently assessed the morphologi...

Morphological errors in reading aloud (e.g., sexist-->sexy) are a central feature of the symptom-complex known as deep dyslexia, and have historically been viewed as evidence that representations at some level of the reading system are morphologically structured. However, it has been proposed (Funnell, 1987) that morphological errors in deep dyslexia are not morphological in nature but are actu...

In this paper, we present a new and fast state-of-the-art Arabic diacritizer that guesses the diacritics of words and then their case endings. We employ a Viterbi decoder at word-level with back-off to stem, morphological patterns, and transliteration and sequence labeling based diacritization of named entities. For case endings, we use Support Vector Machine (SVM) based ranking coupled with mo...

We introduce a constituency parser based on a bi-LSTM encoder adapted from recent work (Cross and Huang, 2016b; Kiperwasser and Goldberg, 2016), which can incorporate a lower level character biLSTM (Ballesteros et al., 2015; Plank et al., 2016). We model two important interfaces of constituency parsing with auxiliary tasks supervised at the word level: (i) part-of-speech (POS) and morphological...