Hybrid Structured Dictionary for Improving Text Recognition
نویسنده
چکیده
منابع مشابه
Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
متن کاملNamed Entity Recognition for Code Mixing in Indian Languages using Hybrid Approach
Automating the process of Named Entity Recognition has received a lot of attention over past few years in Social Media Text. Named Entities are real world objects such as Person, Organization, Product, Location. Identifying these entities in social media text is an important challenging task due the informal nature of text present on social media. One such challenge that is faced in recognizing...
متن کاملStructured Term Recognition in Medical Text
In this work we present a novel approach to bootstrap domain specific terminology, namely Structured Term Recognition, and we apply it to the medical domain. In contrast to previous approaches, based on observing distributional properties of terminology with respect to their contexts, our method analyzes the “internal structure” of multi-word terms by learning patterns of word clusters. Evaluat...
متن کاملNamed-Entity Recognition in Novel Domains with External Lexical Knowledge
We investigate the adaptation of structured classifiers to new domains. In particular, the problem of using a supervised Named-Entity Recognition (NER) system on data from a different source than the training data. We present a Semi-Markov Model, trained with the perceptron algorithm, coupled with an external dictionary with the goal of improving generalization on the novel domain. Preliminary ...
متن کاملImproving Speech Recognition to Assist Real - time Classroom Note Taking
Speech recognition systems have advanced to the point where they are a viable option for providing note taking assistance for deaf and hard of hearing students. College lectures, which frequently contain domain-specific or uncommon terminology, provide a challenge for these systems that typically rely on a dictionary of common words to guide recognition. This paper reports on a prototype text a...
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 1992