نتایج جستجو برای: part words

تعداد نتایج: 772764  

Journal: :The Programming Historian 2012

Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...

Journal: :journal of ai and data mining 2016
m. zahedi a. arjomandzadeh

multi-part words in english language are hyphenated and hyphen is used to separate different parts. persian language consists of multi-part words as well. based on persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. this common incorrectly use of space leads to some s...

پایان نامه :0 1374

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

Journal: :Bulletin of the Psychonomic Society 1988

Journal: :Logical Methods in Computer Science 2013

Journal: :CoRR 2006
Tuomo Kakkonen Niko Myller Erkki Sutinen

Latent Semantic Analysis (LSA) is a widely used Information Retrieval method based on " bag-of-words " assumption. However, according to general conception, syntax plays a role in representing meaning of sentences. Thus, enhancing LSA with part-of-speech (POS) information to capture the context of word occurrences appears to be theoretically feasible extension. The approach is tested empiricall...

2002
Chirag Shah

Traditionally in the vector space model of document representation for various IR (Information Retrieval) tasks, all the content words are used without considering their individual significance in the language. Such methods treat a document as a bag-of-words and do not exploit any language related information. It is obvious that considering such information in representing the documents can hel...

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