GROUP 8
--Rubio Anthony
--Rueda Alexander
--Sanchez Allison
--Silva Andrea
--Solis Melany
SEMANTIC FEATURES AND SELECTION RESTRICTIONS
2. SEMANTIC FEATURE 
ACCORDING TO U. WEINREICH
The semantic feature has several purposes:
Add provisional semantic 
content to an 
ambiguous word
Explain deviant 
and 
metaphorical readings
As a basis for 
semantic agreement
The distinction made it possible to use 
The notion in 
a broader sense
 than in 
transformational 
grammar
U. Weinreich proposed
 A distinction between  a paradigmatic semantic feature and a transfer function.
5. ON SEMANTIC INVARIANT OF THE CLASS OF WORDS WITH GENITIVE SUBJECT
Example
Demonstrating 
how the 
presence or 
absence 
of the presupposition 
of 
existence affects
 the 
choice of case
 for the subject.
Clarification that if the verb's meaning doesn't definitively predict the presence of the presupposition of existence
Identification of two semantic components 
'X takes place'
'X exists'
Determines the case 
of the subject 
in negative sentences.
Focus on
Specifically in contrast with the nominative case.
The construction with genitive subject in Russian, 
4. SEMANTIC FEATURES AND SELECTION RESTRICTIONS IN LEXICON AND GRAMMAR
Role in regulating selection restrictions
Examples
Semantic motivations 
for syntactic behaviors
Predicates introducing 
indirect question
Semantic distribution 
of conjunctions
Neg-Raising 
predicates
Evolution of semantic theory
3. SEMANTIC FEATURES 
IN SYSTEMS OF 
NATURAL LANGUAGE PROCESSING 
(NLP)
You can list NLP problems 
in which features are constantly used
Transfer semantic features 
can be used to 
distinguish texts that allow 
liberal interpretations 
of deviant or metaphorical texts.
Semantic features 
can be useful 
in the process
Combination of verbs 
with adverbs 
that designate 
time
place
reason
purpose
instrument, etc.
Disambiguation of a 
lexically 
homonymous 
predicated word
Revealing 
predicate-argument 
relationships in 
parsing algorithms
Semantic features belong to NLP resources
1. LEXICAL DATABASE 
OF THE SYSTEM
It consists of 2 basic components: 
Bibliographic Database (BBD)
Contains bibliographic information 
on individual lexemes
Syntactic and Semantic information 
cannot be found 
in existing dictionaries
The vocabulary 
consists of 
about 12,500 words
Lexical Database (LBD) 
Consists of 
several domains
The user can obtain 
information about:
--Morphology
--Syntactic features
--Semantic features
--Prosody
--Referential features 
of individual lexical items.
Vocabulary presented in 
machine-readable format
Expert System for natural 
language processing purposes