Agglutinative languages
Combining Stochastic and Rule Based Methods for Disambiguation in Agglutinative Languages
... Combining Stochastic and Rule Based Methods for Disambiguation in Agglutinative Languages Combining Stochastic and Rule Based Methods for Disambiguation in Agglutinative Languages Ezeiza N , Alegria I[.] ...
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Sentential Paraphrase Generation for Agglutinative Languages Using SVM with a String Kernel
... translation (PBSMT) techniques (Bannard and Callison-Burch, 2005; Callison-Burch, 2008; Zhao et al., 2009; Wubben et al., 2010) with phrase- based paraphrase sets extracted from bilingual or monolingual parallel corpora. ...
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Stem Translation with Affix Based Rule Selection for Agglutinative Languages
... In agglutinative languages, stem is the base part of word not including inflectional affixes. Affix, especially inflectional affix, indicates dif- ferent grammatical categories such as tense, per- son, ...
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ChAnot: An Intelligent Annotation Tool for Indigenous and Highly Agglutinative Languages in Peru
... Linguistic corpus annotation is one of the most important phases for addressing Natural Language Processing (NLP) tasks, as these methods are deeply involved with corpus-based techniques. However, meta-data annotation is ...
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A Morphology Based Representation Model for LSTM Based Dependency Parsing of Agglutinative Languages
... To improve the parsing performance of the LSTM parser with character-based word embeddings mentioned in Section 2.1, we include the mor- phological information of words to the embedding model. In agglutinative ...
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Revising the METU Sabancı Turkish Treebank: An Exercise in Surface Syntactic Annotation of Agglutinative Languages
... an agglutinative morphologically rich lan- guage (MRL), Turkish poses challenges to tools and annotation schemas broadly used for non- agglutinative languages with a simpler morphol- ...tinative ...
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Statistical Morphological Disambiguation for Agglutinative Languages
... ig model paper dvi Statistical Morphological Disambiguation for Agglutinative Languages Dilek Z Hakkani T?ur, Kemal O azer, G?okhan T?ur Department of Computer Engineering, Bilkent University, Ankara,[.] ...
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Unlimited vocabulary speech recognition for agglutinative languages
... It is practically impossible to build a word-based lexicon for speech recogni- tion in agglutinative languages that would cover all the relevant words. The prob- lem is that words are generally built by ...
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The Study of Effect of Length in Morphological Segmentation of Agglutinative Languages
... Morph length is one of the indicative feature that helps learning the morphology of lan- guages, in particular agglutinative languages. In this paper, we introduce a simple unsu- pervised model for ...
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A word grammar based morphological analyzer for agglutinative languages
... Morphological analysis of words is a basic tool for automatic language processing, and indispensable when dealing with highly agglutinative languages like Basque (Aduriz et al., 98b). In this context, some ...
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Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low Resource Translation
... natural languages as they are spoken by humans to machine readable text is a complex problem; yet, is partially solvable due to the accuracy of machine language translations when compared to human translations ...
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SMT from Agglutinative Languages: Use of Suffix Separation and Word Splitting
... Marathi and Hindi both belong to the Indo- Aryan family of languages and have the same flexibility towards word order, canonically following the SOV structure. As both are written in Devanagari script and have ...
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Combining Stochastic and Rule Based Methods for Disambiguation in Agglutinative Languages
... Considering that the training corpus is quite small, that the HMM model is a first order one and that Constraint Grammar of Basque language is still in progress, we think that this combi[r] ...
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Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
... On average, the B15-LSTM model improves their own baseline by 1.1%, similar to the 0.9% improvement of our LSTM model, which is much smaller than the 2.17% improvement of the CNN model. Furthermore, the CNN model is ...
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Finite state tokenisation of an orthographical disjunctive agglutinative language: The verbal segment of Northern Sotho
... In agglutinative languages each morpheme is concatinatively added on to form a complete morphological ...Disjunctive agglutinative languages like Northern Sotho write these morphemes, for ...
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Volume 44: OCL and Textual Modelling 2011
... of languages: hardware architecture description languages, or rather hardware platform description languages, that would explicitly capture the software execution mechanisms, in terms of low-level ...
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Introductory Readings in Languages of the Pacific Islands: University of Hawai'i at Manoa, Fall 2016, Linguistics 150
... The term family is used in a way similar to its usage in regular English: it implies descent from a common ancestor. When we speak of a language family, we assume that there was a single ancestral language spoken many ...
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Spell Checking based on Syllabification and Character level Graphs for a Peruvian Agglutinative Language
... native languages in Peru which are mostly ...highly agglutinative and Amazonian lan- guage, and the results obtained have been promising in a dataset built for the pur- ...
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Functionally Incremental Sentence Processing and Reanalysis Difficulty in Head Final Agglutinative Language
... In the two-way ANOVA for the familiarities with sentence type and phrase position as independent variables, the main effects of sentence type and of phrase position and the interaction o[r] ...
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Using Resource Rich Languages to Improve Morphological Analysis of Under Resourced Languages
... resources from a resource-rich language (English) to boot- strap the morphological analyses of two under-resourced language with complex and productive morphological sys- tems (Tagalog and Zulu). We demonstrate that a ...
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