Дәлдік

Eric Brill introduced transformation-based learning and showed that it can do part-of- speech tagging with fairly high accuracy. The same method can be applied at a higher level of textual …...

In this paper, we propose an algorithm for aligning words with their translation in a bilingual corpus. Conventional algorithms are based on word-by-word models which require bilingual data with hundreds …...

Repair processing plays an important role in spoken language processing systems. This paper proposes a method for correcting Chinese repetition repairs and demonstrates the effects of repair processing in Chinese …...

Recently, language barrier becomes the major problem for people to search, retrieve, and understand WWW documents in different languages. This paper deals with query translation issue in cross-language information retrieval, …...

One of the most prominent problems in computer processing of the Chinese language is identification of the words in a sentence. Since there are no blanks to mark word boundaries, …...

Usually, there are various non-alphabet symbols (“/”, “:”, “-”, etc.) occurring in Mandarin texts. Such symbols may be pronounced more than one oral expression with respect to its sense category. …...

This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of the generaliza- tion, rarely cause …...

In various Asian languages, including Chinese, there is no space between words in texts. Thus, most Chinese NLP systems must perform word-segmentation (sentence tokenization). However, successful word-segmentation depends on having …...

Collocation extraction systems based on pure statistical methods suffer from two major problems. The first problem is their relatively low precision and recall rates. The second problem is their difficulty …...

In this paper, we develop an automatic metadata creation system using the information extraction technology for the Semantic Web. The information extraction system consists of preparation part that takes written …...

. Based on large-scale bilingual corpora and the theories of vector space model and lexical mutual information, this paper explores the application of the traditional monolingual IR technology to converting …...

In this paper, we present a new string pat- tern matching-based passage ranking al- gorithm for extending traditional text- based QA toward videoQA. Users interact with our videoQA system through …...

. As a key factor in English grammar checking, subject-verb agreement evaluation plays an important part in assessing translated English texts. In this paper, we propose a hybrid method for …...

We propose an automatic method of extracting paraphrases from definition sentences, which are also automatically acquired from the Web. We observe that a huge number of concepts are defined in …...

Identification of prepositional phrases (PP) has been an issue in the field of Natural Language Processing (NLP). In this paper, towards Chinese patent texts, we present a rule-based method and …...

AbstractOffensive language identification (OLI) in user generated text is automatic detection of any profanity, insult, obscenity, racism or vulgarity that is addressed towards an individual or a group. Due to …...

AbstractIn this study, a named entity recognition was constructed and applied to the identification of Chinese medicine names and disease names. The results can be further used in a human-machine …...