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Part of Speech

Part of Speech Tagging Bilingual Speech Transcripts with Intrasentential Model Switching

Part of Speech Tagging Bilingual Speech Transcripts with Intrasentential Model Switching

... incremental part of speech tagging for speech transcripts that contain multilin- gual intrasentential code-mixing, and compares the accuracy of a monolithic tagging model trained on a ...

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Unsupervised Lexical Acquisition for Part of Speech Tagging

Unsupervised Lexical Acquisition for Part of Speech Tagging

... Extending the tagger’s lexicon with new entries, without having larger training corpora, comes to being able to provide for the new words their ambiguity classes along with associated lexical distributions. The first and ...

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Robust Part of speech Tagging of Arabic Text

Robust Part of speech Tagging of Arabic Text

... improved part of speech tagger for Arabic text that incor- porates a set of novel features and con- ...improves part-of-speech tagging accuracy, especially for unseen words, which re- sults in ...

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Semi Semantic Part of Speech Annotation and Evaluation

Semi Semantic Part of Speech Annotation and Evaluation

... The design of the part of speech (POS) annotation scheme depends upon the need. If the people want to do text processing, text mining, etc., then they might be interested in a limited POS annotation scheme. ...

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Computational Analysis of Part of Speech Tagging
                 

Computational Analysis of Part of Speech Tagging  

... This model focuses distributional properties and co- occurrence patterns of text (similar words occur in similar contexts) by computing context vectors for each word to cluster words together in groups, groups which can ...

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Efficient Stochastic Part-of-Speech Tagging for Hungarian

Efficient Stochastic Part-of-Speech Tagging for Hungarian

... of speech tagging is considered a cheap and well- studied method to produce language resources with some low level linguistic annotation usable for various purposes such as serving as a preparatory phase for more ...

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Part of speech tagging with antagonistic adversaries

Part of speech tagging with antagonistic adversaries

... consider part-of-speech (POS) tagging, ...the part of speech of a previously unseen word from the context it occurs in, this is harder than for previously seen ...

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Do Function Words Belong to Part of Speech?

Do Function Words Belong to Part of Speech?

... ("auxiliary part of speech") in traditional grammars of Kazakh and Russian languages have different connotations due to its ...a part of ...

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Part of Speech Tagging for Code Switched Data

Part of Speech Tagging for Code Switched Data

... In this paper, we address the problem of part of Speech tagging (POS) for CS data on the intra- sentential level. POS tagging is the task where each word in text is contextually labeled with grammat- ical ...

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Augmenting bug localization with part of speech and invocation

Augmenting bug localization with part of speech and invocation

... the part-of-speech features of underlying words in the bug ...The part-of-speech, simply “POS” or “PoS” for short, represents any particular category of words which have similar grammatical ...

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Joint Arabic Segmentation and Part Of Speech Tagging

Joint Arabic Segmentation and Part Of Speech Tagging

... Part-of-speech (POS) tagging is the process of assigning a morphosyntactic role to each word in a text and hence is considered to be a crucial step that highly affects subsequent NLP tasks. The POS tagging ...

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Part of Speech Tagging in Luyia: A Bantu Macrolanguage

Part of Speech Tagging in Luyia: A Bantu Macrolanguage

... Luyia is a macrolanguage in central Kenya. The Luyia languages, like other Bantu languages, have a complex morphological system. This system can be leveraged to aid in part of speech tagging. ...

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A Review on Part of Speech Tagging on Gujarati Language

A Review on Part of Speech Tagging on Gujarati Language

... Natural Language is the medium for communication which is incorporated by every human being. One of the most important activities in processing natural languages is Part of Speech tagging [4].This paper ...

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Unsupervised Part of Speech Inference with Particle Filters

Unsupervised Part of Speech Inference with Particle Filters

... 5.2 Unsupervised Part-of-Speech Tagging The samplers evaluated in section 5.1 induce syn- tactic categories analogous to PoS tags. However, to induce PoS tags, each syntactic category must be assigned to a ...

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Part of Speech Tagging With Neural Networks

Part of Speech Tagging With Neural Networks

... PART OF SPEECH TAGGING WITH NEURAL NETWORKS P A R T O F S P E E C H T A G G I N G W I T H N E U R A L N E T W O R K S H e h n u t Schmid I n s t i t u t e for C o m p u t a t i o n a l Linguistics, Az[.] ...

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A Part of Speech Based Alignment Algorithm

A Part of Speech Based Alignment Algorithm

... A Part of Speech Based Alignment Algorithm A Part of Speech Based Alignment Algorithm K u a n g h u a C h e n a n d t l s i n I Isi C h e n D e p a r t m e n t o f C o m p u t e r S c i e n c e a n d[.] ...

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Part of Speech (POS) Tagger for Kokborok

Part of Speech (POS) Tagger for Kokborok

... Several POS taggers have been developed in different languages using both rule based and statistical methods. Different approaches to POS tagging for English have already been developed such as Transformation based ...

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Arabic Part of Speech Tagging

Arabic Part of Speech Tagging

... Arabic is a morphologically rich language, which presents a challenge for part of speech tagging. In this paper, we compare two novel methods for POS tagging of Arabic without the use of gold standard word ...

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Part of Speech Tagging in Context

Part of Speech Tagging in Context

... In this paper, we provide the first comprehensive comparison of methods for unsupervised part-of- speech tagging. In addition, we explore two new ideas for improving tagging accuracy. First, we explore an ...

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Mandarin Part of Speech Tagging and Discriminative Reranking

Mandarin Part of Speech Tagging and Discriminative Reranking

... in improving tagging accuracy. The original algo- rithm has a tendency to focus on a small subset of strong features and ignore some of the other useful features. We were able to improve the performance of the reranking ...

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