Fast sequence segmentation using log-linear models

نویسندگان

چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Unsupervised Morphological Segmentation with Log-Linear Models

Morphological segmentation breaks words into morphemes (the basic semantic units). It is a key component for natural language processing systems. Unsupervised morphological segmentation is attractive, because in every language there are virtually unlimited supplies of text, but very few labeled resources. However, most existing model-based systems for unsupervised morphological segmentation use...

متن کامل

Log-linear Models for Uyghur Segmentation in Spoken Language Translation

To alleviate data sparsity in spoken Uyghur machine translation, we proposed a log-linear based morphological segmentation approach. Instead of learning model only from monolingual annotated corpus, this approach optimizes Uyghur segmentation for spoken translation based on both bilingual and monolingual corpus. Our approach relies on several features such as traditional conditional random fiel...

متن کامل

Decomposable Log-linear Models Decomposable Log-linear Models

The present paper considers discrete probability models with exact computational properties. In relation to contingency tables this means closed form expressions of the maksimum likelihood estimate and its distribution. The model class includes what is known as decomposable graphical models, which can be characterized by a structured set of conditional independencies between some variables give...

متن کامل

Log-Linear Models

• As x gets bigger, so does expx. So raising θsolid with your slider will raise the numerators of p(solid circle) (1) and p(solid triangle) (3). To be precise, each time you increase θsolid by 1, you multiply those numerators by e. (And decreasing θsolid by 1 divides them by e.) • Finally, the four probabilities (1)–(4) always sum to 1 (thanks to their common denominator Z). That’s required bec...

متن کامل

Log-Linear Models

This is yet another introduction to log-linear (“maximum entropy”) models for NLP practitioners, in the spirit of Berger (1996) and Ratnaparkhi (1997b). The derivations here are similar to Berger’s, but more details are filled in and some errors are corrected. I do not address iterative scaling (Darroch and Ratcliff, 1972), but rather give derivations of the gradient and Hessian of the dual obj...

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

ژورنال

عنوان ژورنال: Data Mining and Knowledge Discovery

سال: 2013

ISSN: 1384-5810,1573-756X

DOI: 10.1007/s10618-012-0301-y