We propose a model for the computer representation of the Pān. inian system of sanskrit grammar. Based on this model, we render the grammatical data and simulate the rules of As.t.ādhyāȳı on computer. We then employ these rules for generation of morpho-syntactical components of the language. These generated components we store in a psubsequential automata. This we use to develop a lexicon on Pā...

An HMM-based Single Character Recovery (SCR) Model is proposed in this paper to extract a large set of “atomic abbreviation pairs”from a text corpus. By an “atomic abbreviation pair,”it refers to an abbreviated word and its root word (i.e., unabbreviated form) in which the abbreviation is a single Chinese character. This task is important since Chinese abbreviations cannot be enumerated exhaust...

The work presented in this paper deals with the text normalization for highly inflectional languages. This paper is focused on abbreviation expansion and likewise on numerals normalization. Our text normalization system does not use any explicit parser or part-of-speech tagger and thus it can be called lightly supervised. The standard rule-based text normalization method is compared with the pr...

Incorrect normalization of text can be particularly damaging for applications like text-to-speech synthesis (TTS) or typing auto-correction, where the resulting normalization is directly presented to the user, versus feeding downstream applications. In this paper, we focus on abbreviation expansion for TTS, which requires a “do no harm”, high precision approach yielding few expansion errors at ...

In Chinese abbreviation prediction, prior studies are limited on positive full forms. This lab assumption is problematic in realworld applications, which have a large portion of negative full forms (NFFs). We propose solutions to solve this problem of generalized abbreviation prediction. Experiments show that the proposed unified method outperforms baselines, with the full-match accuracy of 79....

An HMM-based single character recovery (SCR) model is proposed in this paper to extract a large set of atomic abbreviations and their full forms from a text corpus. By an ‘‘atomic abbreviation,’’ it refers to an abbreviated word consisting of a single Chinese character. This task is important since Chinese abbreviations cannot be enumerated exhaustively but the abbreviation process for compound...

Long named entities are often abbreviated in oral Chinese language, and this usually leads to out-of-vocabulary(OOV) problems in speech recognition applications. The generation of Chinese abbreviations is much more complex than English abbreviations, most of which are acronyms and truncations. In this paper, we propose a new method for automatically generating abbreviations for Chinese named en...

An HMM-based Single Character Recovery (SCR) Model is proposed in this paper to extract a large set of “atomic abbreviation pairs”from a large text corpus. By an “atomic abbreviation pair,”it refers to an abbreviated word and its root word (i.e., unabbreviated form) in which the abbreviation is a single Chinese character. This task is interesting since the abbreviation process for Chinese compo...

سخن سردبیر editorial مجله دانشگاه علوم پزشکی رفسنجان دوره پانزدهم، اردیبهشت 1395، 100-99 معرفی واژه اختصاری پیکوز introducing the picos abbreviation محسن رضائیان[1] m. rezaeian واژه اختصاری پیکوز picos در نگارش بخش مواد و روش های مطالعات مداخله ای (interventional studies)، جایگاه و کاربرد ویژه ای دارد. این نکته به خاطر آن است که حرف p از ابتدای کلمه بیمار (patient) یا مسئله (problem) و یا جمعیت...