[PDF] Top 20 Parsing Morphologically Rich Languages: Introduction to the Special Issue

... for parsing such languages by presenting an overall solution for parsing discontinuous structures ...a parsing model based on Probabilistic Linear Context-Free Rewriting Systems (PLCFRS), ... See full document

... (this issue) ensure that a labeling satisfies a set of structural and SRL-dependent constraints (arguments do not overlap, core arguments do not repeat, ...this issue, Toutanova, Haghighi, and Manning apply ... See full document

... shallow parsing (assigning partial syntactic structure to sentences) and explains why it is an important natural language processing (NLP) ...shallow parsing makes an excellent benchmark problem for ... See full document

... The idea of organizing this workshop was sparked following very interesting discussions that occurred during EACL09 among various researchers working on statistical parsing of different types of languages. ... See full document

... tion of arbitrary features difficult. Moreover, re- fining input features leads to a data sparsity issue. In the other hand, neural network-based mod- els using continuous word representations as input have been ... See full document

... lemmatized morphologically-rich treebank such as the French Treebank slightly improves parsing ...on parsing performance with gold lemmas and leads to a small drop of performance when au- ... See full document

... in parsing morphologically-rich languages and non-canonical language, with the goal of identifying cross- cutting issues in the annotation and parsing methodology, in the face of more ... See full document

... with morphologically rich languages (MRLs) is lexical data sparseness due to the high level of variation in word forms (Tsarfaty et ...for parsing German (Rehbein, 2011), and more recently, ... See full document

... sizable space of possible morphological analy- ses. We used MarMoT with the default param- eters. This purely data-driven tagger achieves a tagging accuracy of 97.6 evaluated at full mor- phological analyses on the ... See full document

... Statistical Parsing of Morphologically Rich Languages (SPMRL 2013), held in Seattle, USA, on October 18th, 2013, in conjunction with the Conference on Empirical Methods in Natural Language ... See full document

... of languages (Arabic, Basque, French, German, Hindi, Korean,Turkish) and are concerned with the most pressing issues (handling discontinuity, incorporating morphological information, the problems of real-world ... See full document

... for morphologically rich languages, such as German and ...processing languages with richer morphology than English, lies in reducing estimation error while addressing the semantic distortion ... See full document

... simple languages, they perform very poorly on morphologically rich languages such as Turkish and ...on morphologically rich ... See full document

... Ukrainian to around 174k sentences pairs for Rus- sian (provided in Appendix A), but the validation and test sets are “multi-way parallel”, meaning the English sentences (the source side in our experi- ments) are the ... See full document

... Using POS tags as additional knowledge source, we enrich the English verbs such that they contain more information relevant for selecting the correct inflected form in the target languag[r] ... See full document

... In this paper, we verified that simple measure- ments utilizing language-specific features can improve the results of sentiment analysis. Partic- ularly the chunking method using morphological dependency relations and ... See full document

... The paper is structured as follows. We first present our “translate-and-inflect” model for pre- dicting lexical translations into morphologically rich languages given a source word and its context ... See full document

... a morphologically rich language, such as Russian, the role of the target lan- guage model is ...For morphologically rich languages the second aspect plays a considerably larger role ... See full document

... in languages with weak morphol- ogy such as English (and German to a lesser ex- tent), sharing the encoder parameters may even hurt the performance of the ...in morphologically poor ... See full document

... Korean is an agglutinative language whose words are formed by joining morphemes together. Two broad classes of morphemes are usually distinguished: stems and affixes. The stem is the main morpheme of the word, providing ... See full document