Recognition and Paraphrasing of Periphrastic Phrases and Overlapping Phrases
نویسندگان
چکیده
منابع مشابه
Recognition and Parapharasing of Periphrastic and Overlapping Verb Phrases
This paper proposes a dictionary-based method of recognizing and paraphrasing Japanese periphrastic and overlapping verb phrases. Periphrastic VP is a phrase in which the verb or the noun functions as an adverb, voice or aspect. Overlapping VP is a phrase in which there is an overlapping meaning between the verb and the noun. The result of our experiment showed that the method can deal with tho...
متن کاملParaphrasing Japanese Noun Phrases using Character-based Indexing
This paper proposes a novel method to extract paraphrases of Japanese noun phrases from a set of documents. The proposed method consists of three steps: (1) retrieving passages using character-based index terms given a noun phrase as an input query, (2) filtering the retrieved passages with syntactic and semantic constraints, and (3) ranking the passages and reformatting them into grammatical f...
متن کاملChunk Tagger - Statistical Recognition of Noun Phrases
We describe a stochastic approach to partial parsing, i.e., the recognition of syntactic structures of limited depth. The technique utilises Markov Models, but goes beyond usual bracketing approaches, since it is capable of recognising not only the boundaries, but also the internal structure and syntactic category of simple as well as complex NP’s, PP’s, AP’s and adverbials. We compare tagging ...
متن کاملOffline Extraction of Overlapping Phrases for Hierarchical Phrase-Based Translation
Standard SMT decoders operate by translating disjoint spans of input words, thus discarding information in form of overlapping phrases that is present at phrase extraction time. The use of overlapping phrases in translation may enhance fluency in positions that would otherwise be phrase boundaries, they may provide additional statistical support for long and rare phrases, and they may generate ...
متن کاملExample-based speech recognition using formulaic phrases
In this paper, we describe the design of an ASR system that is based on identifying and extracting formulaic phrases from a corpus and then, rather than building statistical models of them, performing example-based recognition of these phrases. We describe a method for combining formulaic phrases into a bigram language model that results in a 13% decrease in WER on a monophone HMM recogniser ov...
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: Journal of Natural Language Processing
سال: 2004
ISSN: 1340-7619,2185-8314
DOI: 10.5715/jnlp.11.81