Morphological Segmentation Inside-Out

نویسندگان

  • Ryan Cotterell
  • Arun Kumar
  • Hinrich Schütze
چکیده

Morphological segmentation has traditionally been modeled with non-hierarchical models, which yield flat segmentations as output. In many cases, however, proper morphological analysis requires hierarchical structure— especially in the case of derivational morphology. In this work, we introduce a discriminative joint model of morphological segmentation along with the orthographic changes that occur during word formation. To the best of our knowledge, this is the first attempt to approach discriminative segmentation with a context-free model. Additionally, we release an annotated treebank of 7454 English words with constituency parses, encouraging future research in this area.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nested Partitions Using Texture Segmentation

A multi-step method of partitioning the pixels of an image such that the partitions at one step are wholly nested inside the partitions of the next step is described, i.e. we describe an agglomerative, hierarchical segmentation technique that uses texture information to perform the segmentation. The image is requantized using K-Means clustering. Then, clusters are expanded using region growing ...

متن کامل

Automatic Morphological Segmentation for Continuous Speech Recognition of Basque

The selection of appropriate Lexical Units (LUs) is an important issue in the development of Continuous Speech Recognition (CSR) systems. Word has been used classically as unit in most of them. However, proposals of non-word units have begun to arise. Since the subject of this study is the Basque language, which is an agglutinative language with a complex structure inside words, non-word units ...

متن کامل

Comparative Evaluation of Thresholding and Segmentation Algorithms

Segmentation of brain tumor manually consumes more time and it is a challenging task. This paper detects the tumor inside the brain by doing segmentation and extraction of the tumor which is been detected. To prove the efficiency of the detection of brain tumor we have performed a comparative study of two segmentation algorithms namely “watershed segmentation algorithm” and “k-means clustering ...

متن کامل

Joint Voice Harmony Restoration and Morphological Segmentation for Uyghur Morphological Analysis

Morphological analysis is an fundamental task of Uygur language information processing. In order to solve the problem of error propagation in traditional morphological analysis method which carries out the voice harmony restoration problem at first and then the morphological segmentation, this paper presents a union method combining voice harmony restoration and morphological segmentation. This...

متن کامل

Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

متن کامل

ذخیره 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 2016