DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 21 – 32 of 32

21
c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. Learning Translation Templates from Bilingual Translation Examples
In: http://www.cs.bilkent.edu.tr/~guvenir/publications/AI-15-1-57.pdf
BASE
Show details
22
Generation of Turkish Verbal Groups with Systemic-functional Grammar
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/tainn96.pdf
BASE
Show details
23
Generation of Simple Turkish Sentences with Systemic-Functional Grammar
In: http://lcg-www.uia.ac.be/conll98/ps/165173ci.ps
BASE
Show details
24
Lexical Cohesion Based Topic Modeling for Summarization
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/cicling2007.pdf
BASE
Show details
25
Using Lexical Chains for Keyword Extraction
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/ipm2007.pdf
BASE
Show details
26
A Link Grammar for an Agglutinative Language
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/ranlp2007_linkgrammer.pdf
BASE
Show details
27
Ordering Translation Templates by Assigning Confidence Factors
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/amta98-confidencefactor.pdf
BASE
Show details
28
An Ontology-Based Approach to Parsing Turkish Sentences?
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/amta98-ontologyparsing.pdf
BASE
Show details
29
Automatic Creation of a Morphological Processor in Logic Programming Environment 1
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/pap97.pdf
Abstract: In this paper, we describe a two-level processor which automatically creates a morphological processor from a given set of two-level phonological rules and morphotactic rules. The given two-level phonological and morphotactic rules are automatically converted into Prolog programs which represent a morphological processor for the language in concern. We propose new logical representations for two-level phonological rules, and two-level phonological rules are mapped into these new logical representations which are implemented in Prolog. Morphotactic rules are mapped into a nite state automaton (FA) representing those rules in Prolog. The mechanism described here is applied to Turkish and the results we get are compared with the results of the PC-KIMMO system which is developed for the same purpose. The experiments show that our system, which is in logic programming environment, is more e cient than the PC-KIMMO system.
Keyword: logic programming; morphological analysis; program synthesis; two-level
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1519
http://www.cs.bilkent.edu.tr/~ilyas/PDF/pap97.pdf
BASE
Hide details
30
Generic Text Summarization for Turkish
In: http://www.cs.bilkent.edu.tr/~ilyas/PDF/iscis2009Summarization.pdf
BASE
Show details
31
TURKSENT: A Sentiment Annotation Tool for Social Media
In: http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2316.pdf
BASE
Show details
32
arXiv:cmp-lg/9607027v1 26 Jul 1996Learning Translation Rules From A Bilingual Corpus ⋆
In: http://arxiv.org/pdf/cmp-lg/9607027v1.pdf
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
32
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern