Compound noun segmentation based on lexical data extracted from corpus
نویسندگان
چکیده
منابع مشابه
Compound Noun Segmentation Based on Lexical Data Extracted from Corpus
Compound noun analysis is one of the crucial problems in Korean language processing because a series of nouns in Korean may appear without white space in real texts, which makes it difficult to identify the morphological constituents. This paper presents an effective method of Korean compound noun segmen-tation based on lexical data extracted from corpus. The segmentation is done by two steps: ...
متن کاملCorpus-Based Learning Of Compound Noun Indexing
In this paper, we present a corpusbased learning method that can index diverse types of compound nouns using rules automatically extracted from a large tagged corpus. We develop an e cient way of extracting the compound noun indexing rules automatically and perform extensive experiments to evaluate our indexing rules. The automatic learning method shows about the same performance compared with ...
متن کاملDeverbal Compound Noun Analysis Based on Lexical Conceptual Structure
This paper proposes a principled approach for analysis of semantic relations between constituents in compound nouns based on lexical semantic structure. One of the difficulties of compound noun analysis is that the mechanisms governing the decision system of semantic relations and the representation method of semantic relations associated with lexical and contextual meaning are not obvious. The...
متن کاملDisambiguation of Compound Noun Translations Extracted from Bilingual Comparable Corpora
Bilingual machine readable dictionaries are important and indispensable information resources for cross-language information retrieval, machine translation, and so on. In this paper, we describe a bilingual dictionary acquisition system which extracts translations from non-parallel but comparable corpora of a specific academic domain and disambiguates the extracted translations. We also experim...
متن کاملNew tools for the encoding of lexical data extracted from corpus
This paper describes the methodology and tools that are the basis of our platform AAILE. AAILE has been built for supplying those working in the construction of lexicons for syntactic parsing with more efficient ways of visualizing and analyzing data extracted from corpus. The platform offers support using techniques such as similarity measures, clustering and pattern classification.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Natural Language Engineering
سال: 2001
ISSN: 1351-3249,1469-8110
DOI: 10.1017/s1351324901002637