Word Epoch Disambiguation: Finding How Words Change Over Time
نویسندگان
چکیده
In this paper we introduce the novel task of “word epoch disambiguation,” defined as the problem of identifying changes in word usage over time. Through experiments run using word usage examples collected from three major periods of time (1800, 1900, 2000), we show that the task is feasible, and significant differences can be observed between occurrences of words in different periods of time.
منابع مشابه
Word Sense Disambiguation Using Semantic Graph
This work describes a method of word sense disambiguation by finding similar words in a text. We have used some characteristic properties of the text and its constituent words for the disambiguation task. Using the WordNet, the algorithm constructs a semantic structure on the text illustrating the relations among the words of the text. This structure is then used for disambiguating the constitu...
متن کاملRole of Machine Translation and Word Sense Disambiguation in Natural Language Processing
Natural language is most common way to communicate with each other but sometime we can’t understand other languages to understand different languages machine translation is needed. Machine translation is the best application which helps to understand any other language in less cost and less time. In this some problems are faced by researchers: words which pronounce same but having different mea...
متن کاملWord Sense Disambiguation for All Words without Hard Labor
While the most accurate word sense disambiguation systems are built using supervised learning from sense-tagged data, scaling them up to all words of a language has proved elusive, since preparing a sense-tagged corpus for all words of a language is time-consuming and human labor intensive. In this paper, we propose and implement a completely automatic approach to scale up word sense disambigua...
متن کاملWord Sense Disambiguation and Classification Algorithms: A Review
Natural language is most common way to communicate with each other but it’s not possible to understand all the languages. To understand different languages machine translation (MT) is required. MT is the most excellent application which helps to understand any other language in very less time and cost. Related to this context some problems are faced by researchers like words which pronounce sam...
متن کاملMultilingual Word Sense Disambiguation Using Aligned Wordnets
Word Sense Disambiguation (WSD from now on) represents an established task within Natural Language Processing community, aiming at finding the right sense of a word occurring in a free running text through the use of a computer algorithm. Currently, most of the WSD approaches consider only monolingual texts, and, as such, they rely mainly on the discriminatory power of the words appearing in th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012