In text-to-speech (TTS) systems, an effective morphosyntactic classification is important to improve the prosody of synthesized speech as well as the pronunciation of words subject to vocalic alternation. This research work presents a methodology used for developing and assessing an ad hoc morphosyntactic parser to a TTS system for Brazilian Portuguese. The developed parser is composed of a dic...

In this paper we report on a corpora and lexical comparative study on how to compare the difficulties of five languages (English, German, Spanish, French and Italian) for morphosyntactic analysis and the development of lexicographic resources. Experiments were conducted on two different sets of multilingual parallel corpora and two different morphosyntactic lexicons per language. We measure and...

This paper explores the morphosyntactic tools for text watermarking and develops a syntax-based natural language watermarking scheme. Turkish, an agglutinative language, provides a good ground for the syntax-based natural language watermarking with its relatively free word order possibilities and rich repertoire of morphosyntactic structures. The unmarked text is first transformed into a syntac...

Part-of-speech (POS) tagging for morphologically rich languages such as Arabic is a challenging problem because of their enormous tag sets. One reason for this is that in the tagging scheme for such languages, a complete POS tag is formed by combining tags from multiple tag sets defined for each morphosyntactic category. Previous approaches in Arabic POS tagging applied one model for each morph...

In this paper, we present our approach to SemEval-2013 Task 9.2. It is a feature rich classification using LIBSVM for Drug-Drug Interactions detection in the BioMedical domain. The features are extracted considering morphosyntactic, lexical and semantic concepts. Tools like openDMAP and TEES are used to extract semantic concepts from the corpus. The best F-score that we got for DrugDrug Interac...

This paper describes our participation in the SIGMORPHON 2016 shared task on morphological reinflection. In the task, we use a linear-chain conditional random field model to learn to map sequences of input characters to sequences of output characters and focus on developing features that are useful for predicting inflectional behavior. Since the training data in the task is limited, we also gen...

It has long been observed that many languages from all over the world require that certain grammatical categories (e.g., person, number, tense, modality) occur in the “second position” of a clause. Much of the research into second position has developed formal explanations for this recurring pattern, based on interactions between morphosyntax and phonology. In this article I explore how pragmat...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...

We developed an approach to predict the proficiency level of Estonian language learners based on the CEFR guidelines. We performed learner classification by studying morphosyntactic variation and lexical richness in texts produced by learners of Estonian as a second language. We show that our features which exploit the rich morphology of Estonian by focusing on the nominal case and verbal mood ...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...