Sentence Validation by Statistical Language Modeling and Semantic Relations
نویسندگان
چکیده
منابع مشابه
Modeling Semantic Relations Expressed by Prepositions
This paper introduces the problem of predicting semantic relations expressed by prepositions and develops statistical learning models for predicting the relations, their arguments and the semantic types of the arguments. We define an inventory of 32 relations, building on the word sense disambiguation task for prepositions and collapsing related senses across prepositions. Given a preposition i...
متن کاملTowards better integration of semantic predictors in statistical language modeling
We introduce a number of techniques designed to help integrate semantic knowledge with N-gram language models for automatic speech recognition. Our techniques allow us to integrate Latent Semantic Analysis (LSA), a word-similarity algorithm based on word co-occurrence information, with N-gram models. While LSA is good at predicting content words which are coherent with the rest of a text, it is...
متن کاملAutomatic Extraction of Semantic Relations by Using Web Statistical Information
A semantic network is a graph which represents semantic relations between concepts, used in a lot of fields as a form of knowledge representation. This paper describes an automatic approach to identify semantic relations between concepts by using statistical information extracted from the Web. We automatically constructed an associative network starting from a lexicon. Moreover we applied these...
متن کاملLanguage Modeling with Sentence-Level Mixtures
This paperintroduces a simple mixtare language model that attempts to capture long distance conslraints in a sentence or paragraph. The model is an m-component mixture of Irigram models. The models were constructed using a 5K vocabulary and trained using a 76 million word Wail Street Journal text corpus. Using the BU recognition system, experiments show a 7% improvement in recognition accuracy ...
متن کاملSentence Generation by Semantic concordance
Generation of English sentence is realized in the following three steps. First, the generation of kernel sentence by phrase structure rules; second, the application of transformational rules to the kernel sentence; and finally the completion of a sentence by the morphophonemic modifications. At the first stage of generating kernel sentence, the semantics of words are fully utilized. The method ...
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: International Journal of Computer Applications Technology and Research
سال: 2014
ISSN: 2319-8656
DOI: 10.7753/ijcatr0312.1012