Text Watermarking Based on Syntactic Constituent Movement
نویسندگان
چکیده
منابع مشابه
Syntactic tools for text watermarking
This paper explores the morphosyntactic tools for text watermarking and develops a syntax-based natural language watermarking scheme. Turkish, an agglutinative language, provides a good ground for the syntax-based natural language watermarking with its relatively free word order possibilities and rich repertoire of morphosyntactic structures. The unmarked text is first transformed into a syntac...
متن کاملSemantic Text Summarization Based on Syntactic Patterns
Text summarization is machine based generation of a shortened version of a text. The summary should be a non-redundant extract from the original text. Most researches of text summarization use sentence extraction instead of abstraction to produce a summary. Extraction is depending mainly on sentences that already contained in the original input, which makes it more accurate and more concise. Wh...
متن کاملDependency vs. Constituent Based Syntactic N-Grams in Text Similarity Measures for Paraphrase Recognition
Paraphrase recognition consists in detecting if an expression restated as another expression contains the same information. Traditionally, for solving this prob lem, several lexical, syntactic and semantic based tech niques are used. For measuring word overlapping, most of the works use n-grams; however syntactic n-grams have been scantily explored. We propose using syntac tic dependency and...
متن کاملthe impact of skopos on syntactic features of the target text
the present study is an experimental case study which investigates the impacts, if any, of skopos on syntactic features of the target text. two test groups each consisting of 10 ma students translated a set of sentences selected from advertising texts in the operative and informative mode. the resulting target texts were then statistically analyzed in terms of the number of words, phrases, si...
15 صفحه اولA Constituent Syntactic Parse Tree Based Discourse Parser
This paper describes our system in the CoNLL-2016 shared task. Our system takes a piece of newswire text as input and returns the discourse relations. In our system we use a pipeline to conduct each subtask. Our system is evaluated on the CoNLL-2016 Shared Task closed track and obtains 0.1515 in F1 measurement, especially the part of detecting connectives, which achieves 0.9838 on blind test set.
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: The KIPS Transactions:PartB
سال: 2009
ISSN: 1598-284X
DOI: 10.3745/kipstb.2009.16-b.1.79