[PDF] Top 20 Projection of Argumentative Corpora from Source to Target Languages

... – argumentative texts – to train and test the argument mining ...European languages such as German or Ital- ian. Languages other than these are currently ne- ...European languages is very ... See full document

... arbitrary target language, using only the corresponding text analysis tool for a source language and a parallel corpus between the source and target ...via projection from ... See full document

... a target lan- guage via annotation projection on compa- rable corpora, where we develop a heuris- tic scheme that effectively selects good- quality projection-labeled data from noisy ... See full document

... parallel corpora as well as the variability in the annotated ...tation projection across parallel corpora to create more linguistically annotated resources for new ...annotation projection ... See full document

... nouns from the gold standard that satisfy the frequency crite- rion (50) in the source corpus and have at least one translation in the target corpus that meets the same frequency ... See full document

... pairs from the following language set: English ( EN ), Estonian ( ET ), Croatian ( HR ), Marathi ( MR ), and Maltese ( MT ...extracted from the JW300 corpora by taking the most probable target ... See full document

... four languages – Arabic, Chinese, Hindi and Korean – and one source language – English, using comparable ...developed from the phonetic method originally proposed in Tao et ...different from ... See full document

... constituent projection on the ba- sis of dependency projection, and then use a con- straint EM optimization algorithm to optimized the initially projected ...with source sentences parsed, we first ... See full document

... extraction from comparable corpora has attracted a wealth of re- search works (Fung, 1998; Rapp, 1995; Chiao and Zweigenbaum, ...extraction from com- parable corpora is based on the ... See full document

... absent from the target language training corpus are deterministically mapped to the most- related value present in the target language in the following way: PROPN to NOUN; SYM and INTJ to X; SYM and ... See full document

... of target language to make the projection models cover broader ...in target language, which is much easier to acquire even when the scales of parallel corpora of minor languages are ... See full document

... resource projection from one language (always English) to another language with few sentiment resources and then used machine learning approach for sentiment classification, based on the projected ... See full document

... TRANSLATION AMBIGUITY RESOLUTION BASED ON TEXT CORPORA OF SOURCE AND TARGET LANGUAGES T R A N S L A T I O N A M B I G U I T Y R E S O L U T I O N B A S E D O N T E X T C O R P O R A O F S O U R C E A[.] ... See full document

... aligned corpora. They used a statistical POS tagger for tagging source side text and transferred the POS tags to the target side from the word alignments ob- ...tags from la- beled data ... See full document

... There is no doubt that both professional and trainee translators need access to authentic data provided by corpora. With respect to polyse- mous lexical items, bilingual dictionaries list sev- eral translation ... See full document

... the source lan- guage to synthesize new parallel ...the target language, on the source side, it only exploits translations that the NMT system is already able to generate using a model trained on ... See full document

... There are a number of possible reasons for the bewildering variety of formats and fonts needed to view South Asian scripts on the web. For example, many news companies who publish web pages in these scripts use in-house ... See full document

... Our second combination method is inspired by the Child-Sum Tree-LSTMs of Tai et al. (2015). Here, we use an LSTM variant to combine the two hidden states and cells. The standard LSTM input, output, and new cell value are ... See full document

... For fostering critical thinking and creativity, a key concern is making identified metaphors read- ily comprehensible. Ortony (Ortony, 1980) and oth- ers have suggested that selectional restriction vi- olations are an ... See full document

... The GIATI approach produces transducers which generalize the information pro- vided by the (aligned) training pairs. Thanks to the use of n-grams as a core learning procedure, a wide range of generalization degrees can ... See full document